MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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| Studies have shown that the frequency with which shoppers browse Internet retailers is related to the frequency with which they actually purchase products and/or services online. The following data show respondents age and answer to the question “How many minutes do you browse online retailers per year?” | ||||||||||||||||
| Age (X) | Time (Y) | |||||||||||||||
| 16 | 420 | |||||||||||||||
| 17 | 269 | |||||||||||||||
| 19 | 315 | |||||||||||||||
| 22 | 337 | |||||||||||||||
| 22 | 243 | |||||||||||||||
| 22 | 459 | |||||||||||||||
| 22 | 414 | |||||||||||||||
| 28 | 224 | |||||||||||||||
| 28 | 381 | |||||||||||||||
| 28 | 412 | |||||||||||||||
| 28 | 576 | |||||||||||||||
| 30 | 333 | |||||||||||||||
| 33 | 551 | |||||||||||||||
| 34 | 548 | |||||||||||||||
| 35 | 626 | |||||||||||||||
| 35 | 521 | |||||||||||||||
| 35 | 562 | |||||||||||||||
| 36 | 699 | |||||||||||||||
| 39 | 643 | |||||||||||||||
| 39 | 455 | |||||||||||||||
| 40 | 666 | |||||||||||||||
| 42 | 553 | |||||||||||||||
| 43 | 459 | |||||||||||||||
| 44 | 525 | |||||||||||||||
| 48 | 559 | |||||||||||||||
| 50 | 507 | |||||||||||||||
| 50 | 612 | |||||||||||||||
| 51 | 710 | |||||||||||||||
| 52 | 378 | |||||||||||||||
| 54 | 566 | |||||||||||||||
| 58 | 652 | |||||||||||||||
| 59 | 725 | |||||||||||||||
| 60 | 695 | |||||||||||||||
| 10) | Use Data > Data Analysis > |
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| 11) | Use the Excel |
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| The strength of the correlation motivates further examination. | ||||||||||||||||
| 12) | a) Insert Scatter (X, Y) plot linked to the data on this sheet with Age on the horizontal (X) axis. | |||||||||||||||
| b) Add to your chart: the chart name, vertical axis label, and horizontal axis label. | ||||||||||||||||
| c) Complete the chart by adding Trendline and checking boxes | ||||||||||||||||
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|
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| Read directly from the chart: | ||||||||||||||||
| 13) | a) Intercept = | |||||||||||||||
| b) Slope = | ||||||||||||||||
| c) R2 = | ||||||||||||||||
| Perform Data > Data Analysis > Regression. | ||||||||||||||||
| 14) | Highlight the Y-intercept with yellow. Highlight the X variable in blue. Highlight the R Square in orange | |||||||||||||||
| 15) | Use Excel to predict the number of minutes spent by a 22-year old shopper. Enter = followed by the regression formula. | |||||||||||||||
| Enter the intercept and slope into the formula by clicking on the cells in the regression output with the results. | ||||||||||||||||
| 16) | Is it appropriate to use this data to predict the amount of time that a 9-year-old will be on the Internet? | |||||||||||||||
| If yes, what is the amount of time, if no, why? | ||||||||||||||||
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