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?”
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?”
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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| 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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| 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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