Do the signs of the coefficients of the various nondummy regressors make economic sense?Justify your answer. Soalan 2Question 2Untuk menguji diskriminasi upah antara lelaki dan perempuan, seorang penyelidikmengutip data dari tahun 2020 dan menganggar persamaan upah. Pertimbangkan modelregresi berikut:In order to test for wage discrimination between male and female, an analyst collects data fromthe year 2020 and estimates the hourly wage equation. Consider the following regression model.Y; = Bo + Bifemale + Bzexperience, + B3school; + ɛdi mana Y ialah upah dalam Malaysia ringgit, experience; ialah pengalaman bekerjadalam tahun, school; ialah adalah tahun persekolahan perolehan dan i=1, 2,..,N.where Y; is wage in ringgit Malaysia, experience; is years of working experience, school; is yearsof schooling completed, and i=1, 2,.„N.Persamaan ini dianggar berdasarkan sample N=526 dan R-squared didapati ialah 0.526:The estimated equation based on a sample N=526 and obtained R-squared is 0.526:P = 7.10 + 2.51female, + 0.11experience;-0.28school;(0.21)(0.30)(0.04)(0.20)di mana nombor dalam kurungan ( ) ialah ralat piawaiwhere figure in parentheses () is standard error

The multiple regression equation with k regressors that is, yi = α+β1x1i+β2x2i+...+βkxki+ui then we…

Answered: Soalan 2 Question 2 Untuk menguji…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Do students with higher college grade point averages (GPAs) earn more than those graduates with lower GPAs?† Consider the following hypothetical college GPA and salary data (10 years after graduation). GPA Salary ($) 2.22 72,000 2.27 48,000 2.57 72,000 2.59 62,000 2.77 86,000 2.85 96,000 3.12 133,000 3.35 130,000 3.66 157,000 3.68 162,000 #1) Use these data to develop an estimated regression equation that can be used to predict annual salary 10 years after graduation given college GPA. (Let x = GPA, and let y = salary (in $). Round your numerical values to the nearest integer.) ŷ = #2) Find the value of the test statistic. (Round your answer to two decimal places.) #3)Find the p-value. (Round your answer to three decimal places.) p-value =
According to "Reproductive Biology of the Aquatic Salamander Amphiuma tridactylum in Louisiana,"† the size of a female salamander's snout is correlated with the number of eggs in her clutch. The following data are consistent with summary quantities reported in the article. Partial Minitab output is also included. Snout-Vent Length Clutch Size 32 45 53 215 53 160 53 170 54 190 57 200 57 270 58 175 58 245 59 215 63 170 63 240 64 245 67 280 The regression equation is Y = -133 + 5.92x Predictor Coef Stdev T P Constant -133.02 64.30 2.07 0.0608 x 5.919 1.127 5.25 0.0002 s = 33.90 R-sq = 69.7% R-sq(adj) = 67.2% Additional summary statistics are given below. n = 14 x = 56.5 y = 201.4 Σx2 = 45,597 Σy2 = 613,550 Σxy = 164,690 You can use the Distribution Calculators page in SALT to find critical values and/or p-values to answer parts of this question. (a) What is the equation of the regression line…
Suppose a study wants to predict the market price of a certain species of turtle (Y) based on the following independent variables indicated in the table. Based from the table, what is the equation of the multiple linear regression? (Round off up to two decimal places. Market Price = 0.07 - 0.40*weight + 1.51*length + 1.41*width + 0.80*age Market Price = - 0.40*weight + 1.51*length + 1.41*width + 0.80*age Market Price = 0.07 + 0.40*weight + 1.51*length + 1.41*width + 0.80*age Market Price = 0.07 - 0.40 + weight + 1.51 + length + 1.41 + width + 0.80 + age
Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values: Price Number Sold $2.60 760 $3.50 515 $2.10 980 $4.30 250 $3.00 315 $4.05 480 Part 2 Using simple linear regression LOADING... and given that the price per cup is $1.85, the forecasted demand for mocha latte coffees will be enter your response here cups (enter your response rounded to one decimal place).
Is there any multicollinearity problem in the above multiple regression model? How do you know? Risk of Stroke (%) Age Pressure Smoker (Yes=1) 12 57 152 0 24 67 163 0 13 58 155 0 56 86 177 1 28 59 196 0 51 76 189 0 18 56 155 1 31 78 120 0 37 80 135 1 15 78 98 0 22 71 152 0 36 70 173 1 15 67 135 1 48 77 209 0 15 60 199 0 36 82 119 1 8 66 166 0 34 80 125 1 3 62 117 0 37 59 207 1
Develop an estimated multiple linear regression model that could be used to predict the alumni giving rate using the graduation, % of Classes Under 20, and Student/Faculty Ratio as independent variables. Discuss your findings. School SFR LT20 GT50 GRAD FRR GIVE Arizona State 24 42% 16% 59% 81% 8% Arkansas State—Jonesboro 19 49% 4% 37% 69% 11% Auburn 18 24% 17% 66% 87% 31% Air Force 8 74% 0.10% 81% 88% 11% Military Academy 8 95% 0% 86% 92% 28% Akron 20 39% 6% 35% 69% 15% Arizona 20 35% 17% 60% 79% 5% Arkansas 18 28% 18% 58% 83% 23% Ball State 18 34% 12% 57% 78% 11% Baylor 14 49% 9% 71% 85% 14% Boise State 21 33% 11% 27% 67% 8% Boston College 14 47% 6% 91% 96% 27% Bowling Green State 19 33% 7% 61% 75% 8% BYU 21 46% 12% 78% 84% 17% SUNY 16 36% 21% 67% 88% 9% Alabama 19 46% 16% 67% 85% 34% Central Michigan 22 32% 11% 54% 78% 8% Clemson 16 51% 13% 76% 91% 28% Colorado State 18 34% 19% 64% 83% 7% Berkley 17 62% 15% 91% 97% 12% Cincinnati…
The Tile Shop owner wants to find out how education of his new hires interacts with sales. He is thinking of hiring less educated employees where he can save money on payroll but still expects high sale levels. Develop a Linear Regression Model and forecast sales for 8, 14, 17 years of education. Sales (1000s) Education Years 24 10 18 9 20 11 22 6 26 13 23 16 21 18
In a simple regression analysis for a given data set, if the null hypothesis β = 0 is rejected, then the null hypothesis ρ = 0 is also rejected. This statement is ___________ true.
Movieflix, an online movie streaming service that offers a wide variety of award-winning TV shows, movies, animes, and documentaries, would like to determine the mathematical trend of memberships in order to project future needs.Year 2013 2014 2015 2016 2017 2018 2019 2020 2021Membership (000s)17 16 16 21 20 20 23 25 24 (i) Use the following time series data, to develop a regression equation relating memberships to time.
Based on the following data - (a) units produced from September to December are as follows: 18,900, 17,500, 21,200, 23,400; (b) total cost are as follows: P1,240,800, P1,198,000, P1,374,200, P1,563,800. What is the cost function using least-squares regression analysis? a. y = 79,822 + 62.44xb. y = 113,000 + 62xc. y = 81,000 + 62xd. y = 113,000 + 62.44x
An online market evaluation company e-Serve collects data and provides analytic solutions for sales promotion. A subsample of e-Serve for promotion expenditure and sales of several ecommerce businesses in million taka are provided below.Promotion 22 15 4 4 7 10 12 15 17 15Sales 150 100 80 100 90 120 110 120 130 140(a) Show that a simple linear regression model can be fitted with these variables and state a linear model for these variables. How the least square method is used to estimate parameters in a linear regression model?(b) At 5% level of significance test the hypothesis that the correlation is not positive. Based on the test result comment on the sign of the regression coefficient.(c) Find the regression line of sales on promotion expenditure by estimating parameters. Also, test the significance of slope coefficient at 5% level.(d) Find the 95% confidence interval for the mean sales with promotion expenditure of 7 million taka and comment on your results.
What do you think would be your reservations in relaying on the linear regression model for budgetary planning purposes?

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