Intro to multiple lineair regression
21 important questions on Intro to multiple lineair regression
Q: What is the general multiple linear regression model?
Q: What is the goal of multiple regression?
Q: What are the model assumptions in MLR?
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Q: What is “no perfect multicollinearity”?
Q: What is the meaning of β₁ in MLR?
Q: Interpretation of β₀ in MLR?
Q: What is the prediction equation?
Q: What are residuals?
Q: WHAT IS SSE?
Q: Why does MLR use df = n – (k+1)?
Q: What are the three sums of squares in regression?
Q: What are the degrees of freedom in ANOVA?
Q: What is the F-statistic in MLR?
Q: What does the F-test check in MLR?
H₀: β₁ = β₂ = … = βₖ = 0
H₁: at least one βᵢ ≠ 0
Q: What is the rejection region for the F-test?
Q: What is R²?
Q: What is adjusted R²?
Q: What is the t-statistic for testing βᵢ?
Q: What is the most important test in MLR?
H₀: βᵢ = 0
H₁: βᵢ ≠ 0
Q: Degrees of freedom for t-tests in MLR?
Q: When is Xᵢ significant?
|t| ≥ tα/2.
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