A company keeps extensive records on its new salespeople on the premise that sales should increase with experience. A random sample ofseven new salespeople produced the data on experience and sales shown in the table.Months on JobMonthly Sale sy ($ thousands)22.47.011.31215.01.83.712.0Summary statistics yield SSXX = 94.8571, SSxy = 124.7571, SSyy = 176.5171, x = 5.8571, and y = 7.4571. Write the estimate of linear%3Dregression line and write the estimate of the slope and intercept separately first.

The summary statistics is, The value of slope is, Thus, the value of slope is, 1.3152.

A company keeps extensive records on its new salespeople on the premise that sales should increase with experience. A random sample seven new salespeople produced the data on experience and sales shown in the table. Monthly Sales y ($ thousands) Months on Job 2.4 4 7.0 11.3 12 15.0 1 .8 3.7 12.0 = 5.8571, and y = 7.4571. Write the estimate of linear Summary statistics yield SSXX = 94.8571, SSxy = 124.7571, SSyy = 176.5171, regression line and write the estimate of the slope and intercept separately first.

A company keeps extensive records on its new salespeople on the premise that sales should increase with experience. A random sample seven new salespeople produced the data on experience and sales shown in the table. Monthly Sales y ($ thousands) Months on Job 2.4 4 7.0 11.3 12 15.0 1 .8 3.7 12.0 = 5.8571, and y = 7.4571. Write the estimate of linear Summary statistics yield SSXX = 94.8571, SSxy = 124.7571, SSyy = 176.5171, regression line and write the estimate of the slope and intercept separately first.

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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