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)

16307

17286

22267

22343

22393

22287

22253

28364

28251

28258

28433

30319

33226

34321

35336

35302

35476

36395

39473

39342

40539

42455

43326

44565

48385

50590

50507

51333

52426

54261

58625

59 252

60615

1Use Data > Data Analysis > Correlation to compute the correlation checking the Labels checkbox.

22Use the Excel function =CORREL to compute the correlation. If answers for #1 and 2 do not agree, there is an error.

The strength of the correlation motivates further examination.

a)Insert Scatter (X, Y) plot linked to the data on this sheet with Age on the horizontal (X) axis.

b)b) Add to your chart: the chart name, vertical axis label, and horizontal axis label.

c)c) Complete the chart by adding Trendline and checking boxes

Display Equation on chart

Display R-squared value on chart

3. Read directly from the chart:

a) Intercept =

b) Slope =

c) R2 =

Perform Data > Data Analysis > Regression.

4) Highlight the Y-intercept with yellow. Highlight the X variable in blue. Highlight the R Square in orange

5) 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.

6) 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?