Consider the following linear regression prediction equation: Y = 12 + -1x. What

Question

Consider the following linear regression prediction equation: Y = 12 + -1x. What is the direction of the relationship between these two variables? relationship between the observed X and the predicted V is negative The relationship between the observed X and the predicted Y is positive There is no relationship between the observed X and the predicated Y There is a weak relationship between the observed X and the predicted Y with no direction The best fitting tine is one where the intercept of the regression equation, a. is closest to zero. slope of the regression equation, b. is closest to zero, residual sum of squares is closest to zero. variance of Y is large. Consider the following linear regression prediction equation Y = 12 + -1k. If x = 10. What is the predicted value of Y for this observation? Your answer shown be a whole number like 6 or 8. The following data on fertility rates were obtained from Eurostat on seven European countries in 2006. Take note of the direction of the relationship between the mean age at childbearing and the total fertility rate. Which single country appears to be the exception?

Explanation / Answer

30) Best fit line is one where the residual sum squares is closest to zero.

31) If x=10 the predicted value of Y will be 12-10=2

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