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The output below is from a multiple linear regression of surface finish on cutting RPM and cutting bit type, where bit type is a categorical
The output below is from a multiple linear regression of surface finish on cutting RPM and cutting bit type, where bit type is a categorical variable taking values A,B,C, or D. To run the regression, indicators have been generated for bit types B,C, and D, e.g., if the bit is of type B then the indicator for B will take value 1 and all others will take value 0 . Based on the analysis - what is the expected surface finished when the RPMs equal 250 and the bit used is of type B (please round your answer to the closest 10th, i.e., the first decimal place) Multicollinearity only occurs in multiple regression when two or more of the independent variables are highly positively (but not negatively) correlated. True False Question 2 1 pts The intercept in a model that includes categorical (indicator) variables can be interpreted as the intercept for the level that was left out (i.e., was coded as 0 by the indicator variables). True False
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