MAT 240 Module 5-3 Assignment

PLEASE ANSWER CORRECTLY FULLY  MAKE SURE THE ANSWER IS 100% RIGHT  NO MISTAKES PLEASE

Sherwin-Williams Company is attempting to develop a demand model for its line of exterior house paints. The company’s chief economist feels that the most important variable affecting paint sales (Q) (measured in gallons) is the Selling price (P) (measured in Ghana cedis per gallon). The chief economist decides to collect data on the variables in a sample of 10 company sales regions that are roughly equal in population. Data on paint sales, and selling prices were obtained from the company’s marketing department. The data are shown in the table below:     Sherwin-Williams Company Data Sales Region Sales (Q) Selling Price (P) (GHS/Gallon) 1 160 15       2 220 13.5 3 140 16.5 4 190 14.5 5 130 17 6 160 16 7 200 13 8 150 18 9 210 12 10 190 15.5                                       Specify the linear demand model for Sherwin-William’s paint.                          Estimate the demand…

The Pilot Pen Company has decided to use 15 test markets to examine the sensitivity of demand for its new product to various prices, as shown in the following table. Advertising effort was identical in each market. Each market had approximately the same level of business activity and population. Complete the following worksheet and then estimate the demand function for Pilot's new pen using a linear regression model. Test Market Price Charged (cents) Quantity Sold (Thousands of Pens) i Zi Yi Zili 點 2 1 50 20 1,000 2,500 400 2 50 21 1,050 2,500 441 3 55 19 1,045 3,025 361 4 55 19.5 1,072.5 3,025 380.25 5 60 19.5 1,170 3,600 380.25 6 60 19 1,140 3,600 361 7 65 16.5 1,072.5 4,225 272.25 8 65 15 975 4,225 225 9 70 14 980 4,900 196 10 70 15.5 1,085 4,900 240.25 11 80 13 1,040 6,400 169 12 80 14 1,120 6,400 196 13 90 11.5 1,035 8,100 132.25 14 90 11 990 8,100 121 15 40 17 680 1,600 289 Total 980 245.5 67,100 Regression Parameters Estimations Slope (B) Intercept (a) What is the standard error…

An independent researcher is interested in finding out whether there exists a positive relationship between the number of years of formal education received by an individual and the number of years of formal education received by each of his parents. It is assumed that the number of years of formal education received by one parent of an individual is positively correlated with that of the other parent. The researcher randomly selects 130 individuals and estimates the following regression function: Y₁ = 7+0.56X₁, where Y, denotes the number of years of formal education received by the th individual and X; denotes the number of years of formal education received by the th individual's father. Since the researcher only incorporates the educational attainment of an individual's father in the regression, and not that of the individual's mother, omitted variable bias will occur. Which of the following statements correctly describes the omitted variable bias? A. Omitted variable bias arises…

Write both a null and research hypothesis for the following variables: study time and academic success exam scores and hours spent sleeping parental support and disciplinary conduct problems

The Pilot Pen Company has decided to use 15 test markets to examine the sensitivity of demand for its new product to various prices, as shown in the following table. Advertising effort was identical in each market. Each market had approximately the same level of business activity and population. Complete the following worksheet and then estimate the demand function for Pilot's new pen using a linear regression model. Test Market Price Charged Quantity Sold   (cents) (Thousands of Pens) ii xixi yiyi xixiyiyi xi2xi2 yi2yi2 1 50 20 1,000 2,500 400 2 50 21 1,050 2,500 441 3 55 19 1,045 3,025 361 4 55 19.5 1,072.5 3,025 380.25 5 60 20.5 1,230 3,600 420.25 6 60 19 1,140 3,600 361 7 65 15.5 1,007.5 4,225 240.25 8 65 15 975 4,225 225 9 70 14.5 1,015 4,900 210.25 10 70 15.5 1,085 4,900 240.25 11 80 13 1,040 6,400 169 12 80 14 1,120 6,400 196 13 90 11.5 1,035 8,100 132.25 14 90 11 990 8,100 121 15 40 17 680 1,600 289 Total 980 246     ?…

A researcher wants to test the relationship between the number of years of formal education received (X) and the average weekly earnings (Y) (measured in hundred dollars). A report released by a government agency suggests that the average weekly earnings of individuals with no formal education is equal to $545. The researcher wants to test whether the average weekly earnings with no formal education is $545 or greater than that. He collects data from a sample of 120 individuals and estimates the following regression function: Y-6.91+2.30X, (1.25) (4.25) where , is the predicted value of the weekly earnings for the individual and the standard errors for the coefficients appear in parenthesis. The f-statistic for the test the researcher wants to conduct will be (Round your answer to two decimal places)

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A professor is interested in understanding the factors on which the grades a student obtains in her final exam depends. She chooses the student's intelligence quotient (X,), the grades obtained in the mid-term exam (X2), the number of days the student was present in the class in the whole semester (X3) as regressors. She randomly selects 180 students and estimates the following regression function: Ý = 49 + 1.85X, + 0.98X2 + 0.98X3, + u,. where Y,, X, X2j, and X3, denote the predicted value of grades obtained by the " student, her intellegence quotient, the grades obtained by her in the mid-term exam, and the number of days she was present in the class in the whole semester, respectively. She calculates the value of the regression R to be 0.45. The value of the adjusted R (R) will be (Round your answer to two docimal places). Which of the following statements is not true about the R? (Chock all that apply.) DA The value of R is always greater than the R given that the number of…

The estimated regression equation describing the relationship between the price (P) charged by a monopolist for his product and the quantity (Q) of the product purchased by consumers is given by: Q = 500,000 - 100 P. Results of a t-test reject the null hypothesis for the coefficient multiplying price. The correct interpretation of the B₁ coefficient (equal to -100) is: A) when price is equal to zero, then the average quantity sold is equal to 100 B) an increase in price by one dollar on average is associated with a 100 unit decrease in quantity C) a 1% increase in price is associated with a 100% decrease in quantity OD) an increase in quantity by one unit on average is associated with a $100 decrease in price

Suppose that a study at UCR found the following regression model: 1. If the R-square (R2) = 0.4 and the sample size N = 11. Furthermore, suppose that the number of independent variables K = 2. Find the adjusted R-square? 2. If you know that R-square exceeds the adjusted R-square by 0.10 (i.e. Adjusted R2 = R2 - 0.10). Given a sample size of 21 observations (N=21) and 4 independent variables ( K=4), find both R-square and adjusted R-square?

Y-1.04 +0.24X₁-0.27X2 where Y = quarterly sales (in thousands of cases) of the cold remedy X₁ = Cascade's quarterly advertising (x $1,000) for the cold remedy X₂= competitors' advertising for similar products (x $10,000) Here is additional information concerning the regression model: 8b1 = 0.052, 862 = 0.080, R² = 0.640, 8e-1.63, F-statistic=31.402, and Durbin-Watson (d) statistic=0.499. Which of the independent variables (if any) appears to be statistically significant (at the 0.05 level) in explaining sales of the remedy? (Hint: to.05/2,33-32.042.) Check all that apply. □ X₁ OX2 What proportion of the total variation in sales is explained by the regression equation? 0.640 0.080 O 0.132 O 0.052 The given F-value shows that you reject the null hypothesis that neither of the independent variables explains a significant (at the 0.05 level) proportion of the variation in income. (Hint: Fo.05,2,33-2-F3.316.)

Assess whether the error terms of the econometric model in Wage=b0+b1(lQ) are normally distributed using the residuals from the sample regression function in wage=166.99+8.3(IQ), based on a histogram of frequency distribution, the skewness and kurtosis values, as well as the Jarque-Bera test statistic.

This question refers to module Basic Econometric.

Please solve questions 15, 16 and 17.  The multivariate demand function below will be needed for questions 12-18.   Setting: Grapple, Inc. is a leading seller of laptop personal computers.  However, they want to become a leading tablet seller, too.  Your marketing department, aided by your economics staff, has estimated a function to help you in the quest for market leader in tablets.  The variables are defined after the function. Qg = 10000 - 25Pg + 20Ph + 30Pr - 15dv - 35Psc - 10Pmm + 0.05Ag + 0.03A -25C + 0.1Y                Qg = the number of Grapple tablet computers demanded per week.   Pg = the price of each new Grapple tablet (in $).   Ph = the price of each Hewpaq tablet (in $).   Pr = the price of each Ronova tablet.   Pdv = the price to equip a tablet with Holographic digital video (in $, this is an upgrade option that enables three-dimensional graphics on a tablet.  Two-dimensional graphics is standard equipment).   Psc = the price of various screen sizes (in $, a 8 inch is…

Please type out the correct answer ASAP with proper explanation of why true n why false within 40 50 minutes. Will give you thumbs up only for the correct answer. Thank you ....   Suppose we estimate a regression model that is linear in the parameters, the sample is obtained through random sampling, is no perfect collinearity, the errors have zero conditional mean and are homoskedastic, and the sample size is large. Even under these conditions, the OLS estimators of the parameters are not normally distributed, even approximately, if the regression errors are not normally distributed.   A. True   B. False

12 Sum of squares total (SST) is, a 2558.436     b 2610.649     c 2663.927     d 2718.293

The Australian Government has developed a survey to enable it to gauge the views of the Australian public regarding "Climate Change". The survey consists of a sample of 400 Australian Citizens and Permanent Residents regarding their views on a wide range of Climate Change topics. The Government intends to use the results of the survey to assist in the formulation of government policy for the next 30 years. The variables used in the dataset are as follows: Variable Name Explanation Options Cars Number of motor vehicles in your household Income Your income in Dollars ($) Support Belief that Australia should financially support developing countries in their efforts to address Climate Change (Yes, No) Cause Who/what you think is most responsible for Climate Change (Mostly Human, Mostly Natural, There is no Climate Change, Unsure/Undecided} Solar_Panels Willingness to Install Solar Panels For each of the scenarios outlined below, describe a type of Visualisation (i.e. a Chart/Table/Graph)…

Visitors at a train station were surveyed. The survey found that visitors were unlikely to use taxis because they could not find one quickly enough. How might you generate a hypothesis that relates to this survey data?

The bioactivity of four different drugs A, B, C, D for treating a particular illness was compared in a study and the following ANOVA table was given for the data: Source Between Sum of Square Degrees of Freedom 64.42 Mean Square 21.47 treatments Within 62.12 26 2.39 treatment Total 126.54 29 a) Use F test to test at the 0.01 level the null hypothesis that the four treatments have the same bioactivity. Compute the p value of the observed F statistic.

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A regression model to predict Y, the state burglary rate per 100,000 people, used the following four state predictors: X1 = median age, X2 = number of bankruptcies per 1,000 population, X3 = federal expenditures per capita (a leading predictor), and X4 = high school graduation percentage.     Click here for the Excel Data File (a) Using the sample size of 50 people, calculate the tcalc and p-value in the table given below. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your answers to 4 decimal places.)       (b-1) What is the critical value of Student's t in Appendix D for a two-tailed test at α = .01? (Round your answer to 3 decimal places.)

Could someone answer this for me please You estimate a simple linear regression model using a sample of 25 observations and obtain the following results (estimated standard errors in parentheses below coefficient estimates): y = 97.25 + 19.74* x (3.86) (3.42) What are the endpoints of the interval estimator for B2 with a 99% interval estimate?

You recently obtained a job with a sports analytics firm, and your first assignment is to write a report evaluating early evidence behind predictions for the 2019-20 NBA season. You will use your knowledge of hypothesis testing to assess the predictions. 1. When conducting a hypothesis test for the population mean, you will not know the population standard deviation, so you will have to use the sample standard deviation instead. How will this affect the process?

A website that rents movies online recorded the age and the number of movies rented during the past month for some of their customers. The data are shown below for a random sample of 25 of their customers.The regression line for the data, with number of movie rentals as the response variable, provides an intercept = 18.87, and slope = -0.228. The standard error of the slope SE(b1) = 0.0827. Margin of error ME for a 99% Confidence Interval for the slope of the Population regression line is: 0.1161 0.2322 0.4644 0.3483

Using a sample from a population of adults, to estimate the effects of education on health, we run the following regression: hypertension, = a + Beduc; + YX¡ + Ei where hypertension is a dummy variable equals one if a person suffers from hypertension and zero otherwise, educ is years of schooling, and X is a vector of demographic variables such as age, gender, and ethnicity. (a) Show that educ in the regression above is likely to be endogenous and discuss the consequences of this on the OLS estimators. (b) Evaluate whether a government policy that requires children to complete twelve years of schooling is a good instrumental variable for educ.

Next 3 questions are related to the following: A random sample of 1200 vehicles on a freeway are clocked to test the hypothesis that the proportion of vehicles driving above 80 miles per hour is 25%. The number of vehicles in the sample driving above 80 mph is 326. What is the sample proportion? 31 a 0.267 0.272 0.276 d 0.281 32 The test statistic is: a 1.73 1.67 1.60 d 1.54 33 The p-value is, 0.0830 Reject Ho at a = 0.10. 0.0798 Do not reject Ho at a = 0.05. 0.0415 Reject Ho at a = 0.05. 0.0399 Reject Ho at a = 0.05. a b d

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Business and consumer marketers use the same set of variables to segment their markets Select one: True False

Consider a data set with 15 observations and consider a multiple linear regression model with 7 in-dependent variables. Assume you have estimated the model and you find that SST = 1,325 and SSR = 794.

Consider two variable linear regression model : Y = a + Bx+u The following results are given below: EX= 228, EY; = 3121, EX;Y₁ = 38297, EX² = 3204 and Exy = 3347-60, Ex? = 604-80 and Ey? = 19837 and n = 20 Using this data, estimate the variances of your estimates.