2 variables 37) With respect to correlation and regression a there is no relatio

Question

2 variables 37) With respect to correlation and regression a there is no relationship between these two statistical reen variables etermine r the wicuracy of your regression equation (and vice versa) 38.) For xalues predicted using a linear regressios eqpuation, as the stanydard error of the estimañe a the accuracy of your predictions will also increave the accuracy of your predictions will instead decrease e the accuracy of your predictions will remain the d. the accuracy of your predictions will increase and then decrease 39.) What information is contained in the numerator for the F a the variance predicted by the regression equation, -ratio of wm through the relationship with x c. the variance expected if there were no relationship between X and Y d. both answers a and b a. Y are obtained values, Y are predicted values b. Y are predicted values, Y are obtained valuers c. Y are manipulated values, Y are measured values d. Y are measured values, Y are manipulated values 41.) How is the standard error of the estimate similar to that of standard error terms for t-tests? a. both terms provide a measure of how much difference to expect between either sample means (t-tests) or between actual and predicted values (regression) b. both terms provide a measure of within treatments variances from sample means or predicted values e. both terms provide a measure of the treatment effects or accuracy of prediction, such that higher values of standard error are more likely to lead to significant results d. the two terms are not conceptually similar 42.) An Analysis of Regression is similar to that of an ANOVA, in that an Analysis of Regression also breaks down and analyzes certain variances. In an Analysis of Regression, two components: on is analyzed and broken apart into and c.SS SSregressions SSresidual d. SS,; SSregressions SS residual

Explanation / Answer

Question 37 answer D is right

Queston 38

As standard error of estimate increses then the accuracy of our prediction will decrease. Option b is correct. As standard error is an error of predictionm if it will increase, accuracy will decrease.

Question 39.

MSregression is in the numerator of ANOVA analysis in regession. WHich is equal to variance predicted by regression equation. Optionn D is correct.

QUeston 40

Here Y is the obtained value and y^ are predicted values. Option b is correct.

Question 41

Option a is correct as the both standard erorr of estimate and standard error for t test tell us that differnece betweent the desired value and predicted value.

Question 42

SSy is analyzed ; broken into SS(regression ) and SS (residual )

Option D is correct.

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