2. The owner of a small hardware store has noted a sales pattern for window locks that seems to parallel the number of break-ins reported each week in the newspaper. The data are: Sales 46 18 20 22 27...


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2. The owner of a small hardware store has noted a sales pattern for window locks that seems to parallel<br>the number of break-ins reported each week in the newspaper. The data are:<br>Sales<br>46<br>18<br>20<br>22<br>27<br>34<br>14<br>37<br>30<br>Break-<br>9<br>3<br>5<br>4<br>7<br>6<br>4<br>ins<br>(a) Plot the data [Sales (Y-Axis) versus Break-ins (X-Axis)] to determine which type of equation, linear<br>or nonlinear, is appropriate.<br>(b) Obtain a regression equation for the data (using Data Analysis → Regression)<br>(c) Estimate average sales when the number of break-ins is five.<br>

Extracted text: 2. The owner of a small hardware store has noted a sales pattern for window locks that seems to parallel the number of break-ins reported each week in the newspaper. The data are: Sales 46 18 20 22 27 34 14 37 30 Break- 9 3 5 4 7 6 4 ins (a) Plot the data [Sales (Y-Axis) versus Break-ins (X-Axis)] to determine which type of equation, linear or nonlinear, is appropriate. (b) Obtain a regression equation for the data (using Data Analysis → Regression) (c) Estimate average sales when the number of break-ins is five.

Jun 08, 2022
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