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This section includes 4 Mcqs, each offering curated multiple-choice questions to sharpen your R Programming knowledge and support exam preparation. Choose a topic below to get started.
1. |
In the mathematical Equation of Linear Regression Y = β1 + β2X + ϵ, (β1, β2) refers to __________ |
A. | (X-intercept, Slope) |
B. | (Slope, X-Intercept) |
C. | (Y-Intercept, Slope) |
D. | (slope, Y-Intercept) |
E. | (Slope, X-Intercept)c) (Y-Intercept, Slope)d) (slope, Y-Intercept) |
Answer» D. (slope, Y-Intercept) | |
2. |
Function used for linear regression in R is __________a) lm(formula, data)b) lr(formula, data)c) lrm(formula, data)d) regression.linear(formula, dat |
A. | lm(formula, data) |
B. | lr(formula, data) |
C. | lrm(formula, data) |
D. | regression.linear(formula, data) |
Answer» B. lr(formula, data) | |
3. |
Which of the following metrics can be used for evaluating regression models? |
A. | ii and iv |
B. | i and ii |
C. | ii, iii and iv |
D. | i, ii, iii and ivView Answer |
Answer» E. | |
4. |
In practice, Line of best fit or regression line is found when _____________a) Sum of residuals (∑(Y – h(X))) is minimumb) Sum of the absolute value of residuals (∑|Y-h(X) |
A. | Sum of residuals (∑(Y – h(X))) is minimum |
B. | Sum of the absolute value of residuals (∑|Y-h(X)|) is maximum |
C. | Sum of the square of residuals ( ∑ (Y-h(X))2) is minimum |
D. | Sum of the square of residuals ( ∑ (Y-h(X))2) is maximum |
Answer» D. Sum of the square of residuals ( ∑ (Y-h(X))2) is maximum | |