Unsystematic patterns are caused by the presence of a a). random error b). speci

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Unsystematic patterns are caused by the presence of a a). random error b). special or assignable causes c). explained variation d). time series The least squares method minimizes which of the following? a). SST b). SSR c). SSE d). none of the above In performing a simple linear regression analysis involving two numerical variables, we are assuming a). the variances of X and Y are equal. b). the variation around the line of regression is the same for each X value. c). that the error terms are dependent. d). the mean of X different for each Y value. A according coefficient T_xy = 0.85 could indicate a: a). Relatively weak, positive linear relationship b). Relatively strong, negative linear relationship c). Relatively weak, negative linear relationship d). Relatively strong, positive linear relationship A regression line equation is Y = 17 + 4x. The value of 17 means that a). the regression line crosses the Y axis at 17 b). the correlation coefficient is 17 c). the regression line slopes upward d). an increase of I unit in X will result in an (average) increase of 17 in Y In developing a "best fit" model with the same response variable and same number of explanatory variables, and of course significant, you have to select a model that has the a). highest adjust R^2 b). magnitude of a mean absolute deviation in one c). highest R^2 d). simplest model that gets job adequately Which of the following is false concerning a dummy variable X_1? a). The variable's contribution to the y estimate is either b or nothing. b). The variable can be tested for significance just like numerical variables. c). If the variable has a value of 0, the slope does not change, but if the variable has a value of 1, the intercept shifts. d). None of the above is false.

Explanation / Answer

1) Tha answer is "A"

(Unsystematic patterns are caused by the presence of random error).

2) the answer is "B" the least square method minimizing the SSR(summed square residuals)

3) the answer is "B"
In performing a simple linear regression analysis involving two numarical variables. we are assuming "the variation around the line of regression is the same for each X value.

4) the answer is "D" Corrleation cofficient (r)=0.85 relatively strong , positive linear relationship existed.

5) the answer is "D"an increase of one unit

In"X"will result in an (average ) increase .17 in "y"

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