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Data from a small bookstore are shown in the accompanying table. The manager wants to predict Sales from Number of Sales People Working. Complete parts a through h below. Click the icon to view the data table. Data table a) Find the slope estimate, b₁. Number of sales Sales (in $1000) people working b₁ = (Round to three decimal places as needed.) 11 4 12 7 14 8 15 10 19 10 21 13 21 15 23 16 20 25 x= 10.6 SD(x) = 5.42 y=18.4 SD(y) = 5.02

Data from a small bookstore are shown in the accompanying table. The manager wants to predict Sales from Number of Sales People Working. Complete parts a through h below. Click the icon to view the data table. Data table a) Find the slope estimate, b₁. Number of sales Sales (in $1000) people working b₁ = (Round to three decimal places as needed.) 11 4 12 7 14 8 15 10 19 10 21 13 21 15 23 16 20 25 x= 10.6 SD(x) = 5.42 y=18.4 SD(y) = 5.02

MATLAB: An Introduction with Applications
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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Data from a small bookstore are shown in the accompanying table. The manager wants to predict Sales from Number of Sales People Working. Complete parts a through h below. Click the icon to view the data table. X Data table a) Find the slope estimate, b₁. Number of sales Sales (in $1000) people working b₁ = (Round to three decimal places as needed.) 11 12 14 15 16 20 25 x= 10.6 SD(x) = 5.42 y = 18.4 SD(y)=5.02
Transcribed Image Text:Data from a small bookstore are shown in the accompanying table. The manager wants to predict Sales from Number of Sales People Working. Complete parts a through h below. Click the icon to view the data table. X Data table a) Find the slope estimate, b₁. Number of sales Sales (in $1000) people working b₁ = (Round to three decimal places as needed.) 11 12 14 15 16 20 25 x= 10.6 SD(x) = 5.42 y = 18.4 SD(y)=5.02
Sales (in S) for one week were collected for 18 stores in a food store chain. The data are shown below. The stores and towns they are located in vary in size. Complete parts a) through f). 94,792 116,719 68,282 72.615 123,429 75,658 97,257 75,331 76,183 68,022 63,133 209,755 101,999 100,719 152,849 221,652 C O D. The median is higher because the outliers pull it up. c) Given what you know about the distribution, which of these measures does the better job of summarizing the stores' sales? Why? A. The median because the distribution is symmetric. OB. The mean because the distribution has outliers. C. The median because the distribution has outliers. OD. The mean because the distribution is skewed. d) Summarize the spread of the sales distribution with a standard deviation and with an IQR. The standard deviation of the distribution is $ (Round to the nearest dollar as needed.) 76,479 99,005
Transcribed Image Text:Sales (in S) for one week were collected for 18 stores in a food store chain. The data are shown below. The stores and towns they are located in vary in size. Complete parts a) through f). 94,792 116,719 68,282 72.615 123,429 75,658 97,257 75,331 76,183 68,022 63,133 209,755 101,999 100,719 152,849 221,652 C O D. The median is higher because the outliers pull it up. c) Given what you know about the distribution, which of these measures does the better job of summarizing the stores' sales? Why? A. The median because the distribution is symmetric. OB. The mean because the distribution has outliers. C. The median because the distribution has outliers. OD. The mean because the distribution is skewed. d) Summarize the spread of the sales distribution with a standard deviation and with an IQR. The standard deviation of the distribution is $ (Round to the nearest dollar as needed.) 76,479 99,005
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