Book note: ISL chapter 3 Linear Regression

SLR (Simple Linear Regression)

which is to examine how ONE variable effect the result.

Linear Regression: Assume there is linear relationship between x and y. so that’s to be:

in which the intercept & slope are unknown constants.

For the two constants or coefficients, we need to estimate them from dataset, as close as it can be.

Least squares is the easiest way to describe the closeness

Residual sum of squares (RSS):

MLR (Multiple Linear Regression)

Examine how multiple variables make a compact effect on the result.

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