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. He estimates the
following model: Happiness = β0 +
β1Age + ε. The following
table summarizes a portion of the regression results.
Coefficients | Standard Error | t-stat | p-value | |
Intercept | 56.184 | 5.2123 | 10.7791 | 0.0000 |
Age | 0.2811 | 0.0887 | 3.1691 | 0.0023 |
At the 5% significance level, which of the following is the correct
confidence interval of the regression coefficient
β1?
a [0.0971, 0.1111]
b [0.0771, 0.4651]
c [0.0771, 0.1111]
d [0.0971, 0.4651]
From given output we get,
Estimate for the slope is b1 = 0.2811
Standard error for the slope = SE = 0.0887
sample size (n) = 24
Degrees of freedom = 24 - 2 = 22
Using t-table we get, t-critical value at significance level of 0.05 with 22 degrees of freedom is, tc = 2.074
The 95% confidence interval for the regression coefficient β1 is,
b1 - (tc * SE) < β1 < b1 + (tc * SE)
0.2811 - (2.074 * 0.0887) < β1 < 0.2811 + (2.074 * 0.0887)
0.2811 - 0.1840 < β1 < 0.2811 + 0.1840
0.0971 < β1 < 0.4651
Answer : d) [ 0.0971, 0.4651 ]
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