The output of a regression analysis on the effect of television advertising expenditure and online advertising expenditure on sales is given below.Regression Analysis: Sales versus SpendCoefficientsTermCoefSE CoefT-ValueP-ValueConstant-2.094.07-0.490.634Television spend10.230.52620.670.000Online spend7.000.47818.570.000If the equation of the regression line is given by y = a + bx1 + cx2, What is the value of a? Give your answer to 2 decimal places.

Answered: If the equation of the regression line…

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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If the equation of the regression line for hours a spent cycling in the summer and hours y spent working in the summer is ŷ = - 0.7x + 42 , then as the number of cycling hours increases, the number of work hours tends to decrease. true O false
A sports-equipment researcher was interested in the relationship between the speed of a golf club (in feet per second) and the distance a golf ball travels (in yards). Information was collected on several golfers and was used to obtain the regression equation ŷ = 2x - 106, where x represents the club speed and ŷ is the predicted distance. Which statement best describes the meaning of the slope of the regression line? For each increase in distance by 1 yard, the predicted club speed increases by 2 ft/sec. For each increase in distance by 1 yard, the predicted club speed decreases by 106 ft/sec. For each increase in club speed by 1 ft/sec, the predicted distance increases by 2 yards. For each increase in club speed by 1 ft/sec, the predicted distance decreases by 106 yards.
In the regression equation Y = 85.65 + 0.70X1 - 3.43X2, the intercept is a. 0.70 b. -3.43 c. 1 d. 85.65
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=−50.8+0.3x1+5.1x2, where x1 is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables.
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=−51.9+0.3x1+4.9x2, where x1 is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables.
The personnel director for Electronics Associates developed the following estimated regression equation relating an employee's score on a job satisfaction test to length of service and wage rate. ŷ = 14.4 − 8.69x1 + 13.52x2 where x1 = length of service (years) x2 = wage rate (dollars) y = job satisfaction test score (higher scores indicate greater job satisfaction). #1) Find the value of the test statistic. (Round your answer to two decimal places.) F = Find the p-value. (Round your answer to three decimal places.) p-value = #2)Did the estimated regression equation provide a good fit to the data? Explain. (Round your answers to two decimal places.) Since R2 = Ra2 = #3) Find the value of the test statistic for ?2. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value =
Suppose the equation of the regression line for the number of emails a person recieves at a particular sales company is given by y=9+19⋅x. Where y is based on the number of accounts the person has, x. If a person has 15 accounts, find the number of emails they will recieve. Number of emails:
If X 6 + 20Y, then as per your Regression equation analysis what is the value of a? О а. 6 ОБ. 26 O c. 14 O d. 20
nd fill in the coefficients for the regression equation: Y= _+ X1+ X2
Jane collects data from 40 elementary school students and finds that the relationship between age (x) and score on a certain test (y) is given by y=3.2x+45. What can she extrapolate about the score a 16-year old will get on the test?
Please solve only part d) and part e)
A teacher wants to form a linear regression equation to predict a student's Score on the final based on the number of hours they spent studying for it. Final scores are in percents. y=2x + 60 R-Squared = 0.65 %3D What does the slope mean in terms of the situation? O For each additional hour a student studies, their grade on the final increases by 2%. O For each additional 2 hours a student student studies, their score on the final increases by 1%. O Every hour a student studies, increases their score on the final. O Always choose C. O The more a student studies, the better they will do on the final.

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If the equation of the regression line is given by y = a + bæ1 + cx2, what is the value of a? Give your answer to 2 decimal places.