a. Compute b i and bo (to 1 decimal).boComplete the estimated regression equation (to 1 decimal).b. According to this model, what is the change in annual sales ($1000s) for every year of experience (to 1 decimal)?C. Compute the coefficient of determination (to 3 decimats). Note: report r between 0 and 1.What percentage of the variation in annual sales ($1000s) can be explained by the years of experience of the salesperson (to 1 decimal)?d. A new salesperson joins the team with 6 years of experience. What is the estimated annual sales ($1000s) for the new salesperson (tothe nearest whole number)? SalespersonYears of Experience Annual Sales ($1000s)85113101393439810881079.1168101221011129.121151014134

As per our guidelines, we are allowed to answer first three sub-parts only. Thanks Given : X =…

Answered: a. Compute bi and bo (to 1 decimal). bo…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

For nine months, Joan observes the average daily gas consumption for her house and the corresponding average temperature that month. She gets the following scatterplot (with regression line equation presented and drawn in): Interpreting the regression line (formula above the graph), in general, about how much is gas consumption reduced for each degree increase in average temperature in any given month? AC 43, 20, 83, 800, 1438 ["", "", "", ""] Over the nine months Joan took measurements, approximately what was the range of gas consumptions? AC 20,80,38,1438 ["", "", "", ""] For a month in which the average temperature is 40, predict the daily amount of gas consumed for that month. AC 309, 630,425,800 ["", "", "", ""] After collecting the data, Joan had insulation installed in her home. The next month, the average temperature was 30 and her home (with insulation) consumed…
Set up the regression equation and calculate the predicted satisfaction with major for someone with a GPA of 3.80, a positive affect score of 5.58, a neuroticism score of 4.25, and 21 years old. round to 2 decimal places
The annual profits for a company are given in the following table, where x represents the number of years since 2004, and y represents the profit in thousands of dollars. Write the linear regression equation that represents this set of data, rounding all coefficients to the nearest tenth. Using this equation, find the projected profit (in thousands of dollars) for 2012, rounded to the nearest thousand dollars. Years since 2004 (x) Profits (y)(in thousands of dollars) 0 110 1 137 2 135 3 141 4 160 5 172
An appliance store wants to conduct an experiment to determine the effect of advertising on sales revenue. The data table contains the advertising expenditure (in $100s) and sales revenue (in $100s) in the past 5 months. Below the data table, you will see the results of the regression analysis that was performed using Excel. You need to decide what the sales revenue will be with an advertising expenditure of $600, if possible. Would you be able to use the regression equation to predict the sales revenue? If so, what will be the sales revenue rounded to the nearest dollar? Support your answer. Advertising expenditure ($100s) Sales Revenue ($100s) 1 1 2 1 3 2 4 2 5 4 Coefficients Standard Error t Stat P-value Intercept -0.1 0.635085296 -0.157459164 0.88488398 X Variable 1 0.7 0.191485422 3.655630775 0.035352847
Company X hired a consultant to determine a sales growth function. The consultant gathered past monthly sales data and came up with the following regression equation: Y = 0.5x + 18. Where Y is the sales level in millions and X is the nth data point. Use the equation to estimate sales for the coming month which will be the 22nd data point (ie. Point 22 on the x – axis if represented on a chart with y being sales). a. 11 million b. 18 million c. 22 million d. 29 million
The data below is the amount of tar and nicotine in a sample of different brands of 100 mm, non-menthol, filtered cigarettes. a) Using the calculator, find a linear regression model that gives the amount of nicotine, N, as a function of the amount of tar, t. Write the function below. N(t)= b) use this model of nicotine to estimate the amount of nicotine in a cigarette if the amount of tar is listed as 21 mg. c) What is the correlation coefficient, r, for this model? r= Tar 5 16 17 13 13 14 9 15 2 15 13 14 15 16 7 17 Nicotine 0.4 1 1.2 0.8 0.8 1 0.8 1 0.2 1.1 0.8 1 0.9 1.1 0.6 1.3
Q: The US Box Office Gross profit was recorded for the first eleven weekends after the release of a major motion picture. For the dataset posted below this question, construct a scatterplot with the weekend as the horizontal axis and US Gross (in millions of dollars) as the vertical axis. Conduct an analysis of the Residuals using the Data Analysis ToolPak Regression tool. Comment on whether the assumptions of linear regression have been met. (Please solve this in Excel) Weekend US Gross (millions $) 1 47.7 2 25 3 11.35 4 7 5 4.68 6 3.02 7 1.34 8 0.72 9 0.49 10 0.31 11 0.2
you are the Filipino analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. You used regression analysis to predict $ sales by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2 If the advertising budgets of one of the branches of the corporation is the same as before and the salary of sales representatives is now 20% less than before, then the predicted sales in that branch will
Please only answer “d” and “e” as I already have the other parts filled out. Thank you!
You are the Filipino analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. You used regression analysis to predict $ sales (y) by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2 If the advertising budgets of one of the branches of the corporation increased by 10% and the salary of sales representatives decreased by 20%, then its predicted sales will?
Consider the following regression equation: y = -5.3 + 8.8x.What does 8.8 depict in the regression equation above? a. None of the options. b. The direction of the line. c. The point where x = 0. d. The y-intercept.
Please Solve In 20mins

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS