In: Statistics and Probability
Exercise 15-59 Static
A sociologist wishes to study the relationship between happiness
and age. He interviews 24 individuals and collects data on age and
happiness, measured on a scale from 0 to 100.
DATA:
Age | Happiness |
49 | 62 |
51 | 66 |
41 | 67 |
65 | 71 |
84 | 87 |
41 | 60 |
83 | 86 |
18 | 78 |
36 | 59 |
61 | 63 |
15 | 77 |
86 | 90 |
73 | 70 |
32 | 62 |
84 | 93 |
23 | 72 |
52 | 58 |
72 | 73 |
63 | 63 |
30 | 66 |
72 | 78 |
47 | 60 |
88 | 95 |
69 | 72 |
a. Estimate: Happiness = β0 +
β1Age + ε. (Round your answers
to 2 decimal places.)
Happiness = _______ +_________Age.
b-1. Choose the hypotheses to determine if age has
an impact on happiness.
H0: β1 ≥ 0; HA: β1 < 0
H0: β1 ≤ 0; HA: β1 > 0
H0: β1 = 0; HA: β1 ≠ 0
b-2. Calculate the value of the test statistic. (Round answer to 2 decimal places.)
b-3. Find the p-value.
p-value < 0.01
0.01 ≤ p-value < 0.025
0.025 ≤ p-value < 0.05
0.05 ≤ p-value < 0.10
p-value ≥ 0.10
c. At the 1% significance level, is Age significant in explaining Happiness?
No, since we reject the null hypothesis.
Yes, since we reject the null hypothesis.
Yes, since we do not reject the null hypothesis.
No, since we do not reject the null hypothesis.