If computing a causal linear regression model of Y = a + bX and the resultant is very near zero, then one would be able to conclude that: (Points : 3) Y = a + bX is a good forecasting method. Y = a + bX is not a good forecasting method. a multiple linear regression model is a good forecasting method for the data. a multiple linear regression model is not a good forecasting method for the data. none of the above. 2. The coefficient of determination resulting from a particular regression analysis was 0.85. What was the slope…
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