Palease ans only 10 questions QUESTION 9In multiple regression analysis, the correlation among the independent variables is termedO a. linearityO b. adjusted coefficient of determinationOc. multicollinearityOd homoscedasticityQUESTION 10A multiple regression model hasO a. only one independent variableb. at least two dependent variablesC. more than one dependent variabled. more than one independent variableQUESTION 11A regression analysis between demand (y in 1000 units) and price (x in dollars) resulted in the following equation.XE-6=4The above equation implies that if the price is increased by $1, the demand is expected toO a decrease by 6,000 unitsOb decrease by 3 unitsOc decrease by 3.000 unitsd inerease by 6 units

Name: Palease ans only 10 questions QUESTION 9In multiple regression analysi
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Description: Palease ans only 10 questions QUESTION 9In multiple regression analysis, the correlation among the independent variables is termedO a. linearityO b. adjusted coefficient of determinationOc. multicollinearityOd homoscedasticityQUESTION 10A multiple re

(10) Multiple linear regression: Multiple liner regression is used when relationship between more…

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QUESTION 10 A multiple regression model has a. only one independent variable b.at least two dependent variables Oc more than one dependent variable d. more than one independent variable

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.
Does Table 1 represent a linear function? If so, finda linear equation that models the data.
Question Six The following table gives the experience (in years) for several brokers and their number of stocks sold during the previous three months in the Egyptian stock market. Broker Experience ( in years) 4 12 9 6 10 16 7 Number of stocks 19 42 28 31 39 35 21 Determine both dependent and independent variables, and explain the expected relationship between Calculate the correlation coefficient comment on the Estimates the simple regression model and comment on the estimated Predict the number of stocks sold during the past three months by broker with eleven years of Without any calculation, If independent variable is divided over 3, what will be the effect on the estimated coefficients. Justify your
QUESTION 2 XXX Electric Illuminating Company is doing a survey on the relationship between electricity used in kilowatt-hours (thousand) and the number of rooms in a private single-family residence. A random sample of 10 homes was selected and the electricity consumption recorded as below. ii. Find a suitable linear regression equation ? = ? + ??. iii. Determine the number of kilowatt-hours (thousand) for an eleven-room residence.
Question 4: A company studied the productivity of their employees on a new information system. They were interested in if the age (X) of data entry operators influenced the number of completed entries made per hour (Y). If the regression equation is = 14.374 + 0.145x. The SD of age is = 14.04, and the SD of the number of completed entries made per hour is = 2.61. What is the correlation coefficient between age and productivity? How to interpret the correlation? How to interpret the slope? If a data entry operator is 40 years old, what is the predict productivity using the regression equation?
Which of the following statements is true with respect to a simple linear regression model? The percent of variation in the dependent variable that is explained by the regression model is equal to the square of the correlation coefficient between the x and y variables If the correlation coefficient between the x and y variables is negative, the sign on the regression slope coefficient will also be negative If the correlation between the dependent and the independent variable is determined to be significant, the regression model for y given x will also be significant All of the above are true
Ch 13. 7: Refer to the Lincolnville School District bus data. First, add a variable to change the type of engine (diesel or gasoline) to a qualitative variable. If the engine type is diesel, then set the qualitative variable to 0. If the engine type is gasoline, then set the qualitative variable to 1. Develop a regression equation using statistical software with maintenance cost as the dependent variable and age, odometer miles, miles since last maintenance, and engine type as the independent variables.
Which of the following statements is NOT true? a.If the correlation coefficent, rr, is negative, then the slope of the regression line must always be negative. b.For variables x and y, the value of the correlation coefficent will not change c.if the units of x and y are changed, (i.e., if both x and y are changed from say inches to meters) d.If r≠0r≠0 , then a significant linear correlation will exist between the two variables e.The value of the correlation coefficient must be within the interval: −1≤r≤1