according to the unstandardized multiple linear regression equation, the best pr

Question

according to the unstandardized multiple linear regression equation, the best prediction of the outcome variable y equals? a. the interpret plus the sum of the products by multiplying each predictor variable (x) bycorresponding regression coefficientfor all predictors b.the sum of all the variables (x) each multipled by their regression coefficientplus error    c.the intercept minus the sum of all the predictors variables (x) each multipliedby their regression coefficient   d. the intercept minus the sum of all the predictor varaibles (x), each divided by their regression coefficient

An unstandardized coefficient associate with a predictor variable in a multiple linear regression equation is: a. the same as when a simple linear regression is fit with corresponding independent varaible (predictor) b. less interpretable an an index of a predictor relative importance when it is standardized c. not suitable for inference based on a confidence intervel   d. the amount of change in dependent variable associated with a unit change in prdictor variable when the effetc of other predictors are taken into

Explanation / Answer

* Answer is (a). The intercept plus the sum of products by multiplying each predictor variable by corresponding regression coefficient for all predictors

** answer is (a)

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