41. If Linear regression model perfectly first i.e., train error is zero, then . . . . . . . .
42. Which of the following metrics can be used for evaluating regression models?
i) R Squared
ii) Adjusted R Squared
iii) F Statistics
iv) RMSE / MSE / MAE
i) R Squared
ii) Adjusted R Squared
iii) F Statistics
iv) RMSE / MSE / MAE
43. How many coefficients do you need to estimate in a simple linear regression model (One independent variable)?
44. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?
45. Function used for linear regression in R is . . . . . . . .
46. In syntax of linear model lm(formula,data,..), data refers to . . . . . . . .
47. In the mathematical Equation of Linear Regression Y = β1 + β2X + ϵ, (β1, β2) refers to . . . . . . . .
48. . . . . . . . . is an incredibly powerful tool for analyzing data.
49. The square of the correlation coefficient r 2 will always be positive and is called the . . . . . . . .
50. Predicting y for a value of x that's outside the range of values we actually saw for x in the original data is called . . . . . . . .
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