Q. Which of the following count the number of good cases when doing pairwise analysis?

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Q. Which of the following gives the summary of values likes mean etc?

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Q. The purpose of correct.cor is to correct _________ in values.

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Q. What plot(s) are used to view the linear regression?

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Q. Common Metrics which are used to select linear model are ____________

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Q. In lm(response ~ terms), terms specification of the form “first*second” is same as __________

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Q. In practice, Line of best fit or regression line is found when _____________

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Q. If Linear regression model perfectly first i.e., train error is zero, then _____________________

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Q. 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

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Q. How many coefficients do you need to estimate in a simple linear regression model (One independent variable)?

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Q. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?

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Q. Function used for linear regression in R is __________

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Q. In syntax of linear model lm(formula,data,..), data refers to ______

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Q. In the mathematical Equation of Linear Regression Y = β1 + β2X + ϵ, (β1, β2) refers to __________

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Q. ________ is an incredibly powerful tool for analyzing data.

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Q. The square of the correlation coefficient r 2 will always be positive and is called the ________

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Q. 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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Q. What is predicting y for a value of x that is within the interval of points that we saw in the original data called?

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Q. Analysis of variance in short form is?

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Q. ________ is a simple approach to supervised learning. It assumes that the dependence of Y on X1, X2, . . . Xp is linear.

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