Problem 1 No, because the scatterplot shows some outliers.
Stat > Basic Statistics > Correlation > Variables: Income Distance. r=-0.002
Problem 2 Strictly speaking, no, because at least one variable (actually both) are discrete.
Stat > Regression > Regression, Response= Satisfaction, Predictors= Job Level
Satisfaction = 2.911 + 0.1872 Job Level
Problem 3
Data > Split Worksheet > by Variable Gender, select worksheet with females,
Stat > Regression > Regression, Response= Income, Predictors=Years
Income = 18040 + 1432 Years
1432 is the annual increase in salary of the women.
Problem 4
Stat > Basic Statistics > Display Descriptive Statistics, Variable= Satisfaction
m=3.48, s=1.42
| Minimum | Q1 | Median | Q3 | Maximum |
| 1 | 2 | 4 | 5 | 5 |
Problem 5
a) Here is what I got in my 10 runs:
= 3.84, CI=(3.50, 4.17)
= 3.46, CI=(3.11, 3.81)
= 3.44, CI=(3.09, 3.79)
= 3.38, CI=(3.03, 3.73)
= 3.44, CI=(3.10, 3.78)
= 3.52, CI=(3.17, 3.87)
= 3.50, CI=(3.17, 3.83)
= 3.64, CI=(3.33, 3.95)
= 3.22, CI=(2.87, 3.57)
= 3.56, CI=(3.25, 3.87)
b) We have m=3.48, which is in all the intervals above except the first.