Referring to Table 14-4, which of the following values for the level of signific

Question

Referring to Table 14-4, which of the following values for the level of significance is the smallest for which each explanatory variable is significant individually?

d-0.001

HELP

a-0.025 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.8479 0.7189 0.7069 17.5571 50 ANOVA Significance F 0.0000 df MS Regression Residual Total 37043.3236 18521.6618 14487.7627 51531.0863 308.2503 49 Coefficients Standard Error 7.2273 0.0392 1.6949 t Stat P-value Intercept Income Size 5.5146 0.4262 5.5437 0.4493 0.0000 0.0020 -0.7630 10.8668 0 3.2708

Explanation / Answer

Given that, explanatory variables are income and size

p-value for income = 0.0000

p-value for size =0.0020

We can say variable is significant if its p-value is lesa than significance level.

Therefore smallest level of significance for which these two variables income and size are significant is 0.010

Answer: b) 0.010

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