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State and interpret the slope
On average, for every 1 unit increase in explanatory variable, the predicted response variable increases/decreases by slope
State and interpret the y-intercept
Our model predicts when the explanatory variable is 0 units, that the response variable would be y-intercept
State and interpret the correlation coefficient (r)
The linear relationship between explanatory variable and response variable is strength and direction.
State and interpret the coefficient of determination (r²)
__% (r²x100) of the variation in the response variable can be explained by the linear relationship it has with explanatory variable
Residual
Actual minus predicted
Describe the association between (explanatory variable) and (response variable).
There is a strength direction form association between explanatory variable and response variable with (any or none unusual features)
Based on the given residual plot, is a linear model appropriate?
Yes/no. since the residual plot shows (yes/no) leftover pattern and (has/no) scatter, a linear model is (yes/not) appropriate.