Consider a multiple linear regression model Y; = Bo + B1Xi1 + B22:2 + 33213 +...

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Consider a multiple linear regression model Y; = Bo + B1Xi1 + B22:2 + 33213 + Blog(x14) + Ej. We have the following statistic

Call: 1m formula = y “ x1 + x2 + x3 + log(x4) Coefficients: Estimate Std. Error t value Pr(>1t|) (Intercept) 154.1928 194.906

math Statistics-And-Probability

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Answer 1

Answer #1

a). for x2:

If x2 increases 1 unit, y decreases by 6.1353 units

for x4:

if x4 increases by 1 unit, y increases by log(26.7552) or 1.427 units

b). all the variables with p-value < 0.15 are significant

variables x1, x2, x3, x4 are significant except intercept

c). It is calculated and arranged in your image

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Answer 2

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