Question: QUESTION 12 If computing a causal linear regression model of Y = a + bX and the resultant r2 is very near zero, then one

 QUESTION 12 If computing a causal linear regression model of Y

QUESTION 12 If computing a causal linear regression model of Y = a + bX and the resultant r2 is very near zero, then one would be able to concluc A- A- Y= a + bX is a good forecasting method. A 3- Y= a + bX is not a good forecasting method. -A- C- a multiple linear regression model is a good forecasting method for the data. \"A\" D' a multiple linear regression model is not a good forecasting method for the data. QUESTION 13 Which of the following is an assumption of the regression model? O A- The errors are independent. O B. The errors are not normally distributed. 0 C- The errors have a standard deviation of zero. 0 D' The errors have an irregular variance

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