Question

number of crimes (y) is affected by unemployment (x1), number of police offcers (x2) and population...

number of crimes (y) is affected by

unemployment (x1), number of police offcers (x2) and population (x3). 64 urban areas and found the following results.

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Test at 5% significance levels if the coefficient of unemployment

Do not reject H0; p-value > alpha

Reject H0; test statistics > t-table value or critical value

Reject H0; p-value > alpha

Do not Reject H0; p-value < alpha

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Answer #1

Solution:

Here, we have to check the significance of the coefficient of unemployment by using t test for regression coefficient. The null and alternative hypotheses are given as below:

Null hypothesis: H0: The coefficient of unemployment is not statistically significant.

Alternative hypothesis: Ha: The coefficient of unemployment is statistically significant.

We are given

Level of significance = α = 5% = 0.05

The test statistic is given as below:

t = β̂/SE

We have β̂ = 59.651, SE = 310.845, n = 64, df = n – 1 = 64 – 1 = 63

t = 59.651/310.845

t = 0.192

P-value = 0.848

(By using t-table)

[We already had given these values in the regression output.]

P-value > α = 0.05

So, we do not reject H0

Answer: Do not reject H0; p-value > alpha

There is insufficient evidence to conclude that the coefficient of unemployment is statistically significant.

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