(d) What would be the predicted sales if the sales representative wasemployed by the firm for 20 years.$(Round your answer to nearest $. ) Example) If youranswer is 125.21, input as 125.(e) Find the residual when the sales representative was employed by the firmfor 15 years.Round your answer to nearest thousandth. A manager wishes to determine the relationship between the number ofyears her sales representatives have been employed by the firm and theiramount of sales (in thousands of dollars) per month. Find the equation ofthe regression line for the given data.10 7 8 15 3 1 11Years ofemployed (x)Sales (y)31 33 78 62 65 70 48 55 64(a) Find the correlation coefficient(Round your answerto nearest thousandth)(b) Find the critical value(c) Find the equation of least square regression.(Round slope and intercept to nearestthousandth)

The given data is given as follows: x(years) y(sales) 2 31 3 33 10 78 7 62 8 65 15 70…

(d) What would be the predicted sales if the sales representative was employed by the firm for 20 years. $ (Round your answer to nearest $. ) Example) If your answer is 125.21, input as 125. (e) Find the residual when the sales representative was employed by the fırm

(d) What would be the predicted sales if the sales representative was employed by the firm for 20 years. $ (Round your answer to nearest $. ) Example) If your answer is 125.21, input as 125. (e) Find the residual when the sales representative was employed by the fırm

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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Question

(d) What would be the predicted sales if the sales representative was
employed by the firm for 20 years.
$
(Round your answer to nearest $. ) Example) If your
answer is 125.21, input as 125.
(e) Find the residual when the sales representative was employed by the firm
for 15 years.
Round your answer to nearest thousandth.

A manager wishes to determine the relationship between the number of
years her sales representatives have been employed by the firm and their
amount of sales (in thousands of dollars) per month. Find the equation of
the regression line for the given data.
10 7 8 15 3 1 11
Years of
employed (x)
Sales (y)
31 33 78 62 65 70 48 55 64
(a) Find the correlation coefficient
(Round your answer
to nearest thousandth)
(b) Find the critical value
(c) Find the equation of least square regression.
(Round slope and intercept to nearest
thousandth)

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