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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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.
Please all the 3 of these sub-questions. Make sure answer is rounded up to 4 decimals
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = -51.5+0.3x, +5.3x2, where x, is the tree's height (in feet) and x, is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. x₁ = 72. x₂ = 8.9 The predicted volume is cubic feet. (Round to one decimal place as needed.)
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 =
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
If the equation of the regression line that relates income in dollars of student’s parents, xx, with cost in dollars of tuition,yy, is y=8500+0.018xy=8500+0.018x. a. What is the best prediction for the tuition of students whose parents earn no income? b. What is the best prediction for the tuition of students whose parents earn $45000? c. What is the best prediction for the tuition of students whose parents earn $80000?
Use B = -15.812961, and ₁ = 0.096300 to determine the equation of the estimated regression line. (Round your numerical answers to four decimal places.) ŷ =
In 2012, the CDC published data on the average weight of American female children by year. Using ages 1−7 of this data, researchers made a linear regression with age in years as the x variable and weight in pounds as the y variable. The equation of the line of best fit is yˆ=5.78x+17.56. According to the line of best fit, what would you predict the weight would be for a 14-year-old female? Is it reasonable to use this line of best fit to make this prediction?
Suppose Isabella has developed the following fitted regression equation for the price of a Edmonton condo: Price = 152000 + 50*(Square Footage) (a) If someone wants to purchase a 770 sq. ft. Edmonton condo, how much should they expect to pay? Answer: $ (b) If they want to buy a unit that is 25 square feet bigger, then how much more money should they expect to pay? Answer: $ (c) Would the intercept be meaningful if this regression represents the average Edmonton condo (when square footage is 0)? O Yes O No Check

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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.