Yahoo Search Res Apli Studlent Question X C courses aplia.com/af/ser let/quz?qui
ID: 3365056 • Letter: Y
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Yahoo Search Res Apli Studlent Question X C courses aplia.com/af/ser let/quz?quiz action: takeQuiz&quiz; probGuid-QNAPC0A801010000003b8d75e00700008 c delil martinez-0003&ckzm; 1511228145230 0AAA6B0. @) 4. Regression model assumptions Aa Aa In simple linear regression analysis, you make the assumption that the straight line y-Po + 1x is the basis for the relationship between the variables x and y. The coefficient of determination r2 is a measure of how well the model fits the data. But even when the independent variable does a good job of explaining the variability of the dependent variable, the error terms in the regression model must satisfy certain assumptions, when the assumptions about are seriously violated, the model is not useful for making inferences. The assumptions about the error term are: I. The random errors have a mean of zero. 2. The random errors have the same variance 3. The random errors are independent. 4. The random errors e are normally distributed. The following graph shows the probability distributions of E1 and E2, the error terms for X1 and ×2, and two values of the independent variable x. c1, 2 Based on the graph Session 56:57 Timeout Assum 5:49 PM 11/20/2017Explanation / Answer
The correct answer is : Assumption 1 and 2 are violated. Because the mean of error red and black are 0.1 and 1 respectively and their variances are not same.
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