# Question: Here is a small set of real data that shows

Here is a small set of (real) data that shows GNP per capita (X), and mean life satisfaction, for a set of 19 nations (Y). (Insert Table 9.2 about here)

a. Enter the data into SPSS.

b. Run the procedure; obtain the mean and standard deviation for each variable.

c. Do appropriate preliminary data screening, and then run the bivariate regression to predict life satisfaction from GNP. Write up the results in paragraph form including: statistical significance, effect size, and nature of relationship. Also use the Save command to save the unstandardized residuals as a new variable in your SPSS worksheet. Include effect size and nature of relationship even if the regression is not statistically significant.

d. Using the command, create a new variable that tells you the squared unstandardized residual for each case. Using the command, obtain the sum of the squared residuals across all 19 cases. Note that this total for sum of square residuals should correspond to SSresidual in the ANOVA table in your SPSS regression printout.

e. Show that you can use the sums of squares in the ANOVA table in the SPSS printout to reproduce the value of R2 on the SPSS printout.

a. Enter the data into SPSS.

b. Run the

c. Do appropriate preliminary data screening, and then run the bivariate regression to predict life satisfaction from GNP. Write up the results in paragraph form including: statistical significance, effect size, and nature of relationship. Also use the Save command to save the unstandardized residuals as a new variable in your SPSS worksheet. Include effect size and nature of relationship even if the regression is not statistically significant.

d. Using the

e. Show that you can use the sums of squares in the ANOVA table in the SPSS printout to reproduce the value of R2 on the SPSS printout.

## Relevant Questions

Someday the United States might convert to the metric system, and if we ever do, people will need to know how to convert measurements from feet and inches into meters and centimeters. Given that: 1 meter = 39.37 inches a. ...What information should be included in a report of a bivariate regression? Draw three overlapping circles to represent the variance and shared variance among X1, X2 and Y, and label each of the following: sr21, sr22, 1 – R2. What interpretation is given to the three way overlap? How do you deduce ...How does the interpretation of regression coefficients differ for dummy coding of dummy variables versus effect coding of dummy variables (hint: in one type of coding, b0 corresponds to the grand mean; in the other, b0 ...What information do you need to judge the statistical significance, and the effect size for each of these sources of variance: A, B, and A x B?Post your question