In regression analysis, the variable that is gift predicted isthe dependence variable.

You are watching: In regression analysis, the variable that is being predicted is the

a. True b. False

2.

The model emerged from sample data that has the kind of

*
is well-known as the estimated simplelinear regression equation.

a. True
b. False

3.

Regression analysis is a statistics procedure for developing amathematical equation that describes how one independent and also one ormore dependence variables are related.

a. True
b. False

4.

A the very least squares regression line may be supplied to predict a valueof x if the equivalent y value is given.

a. True
b. False

5.

Correlation analysis is used to determine the strength of therelationship between the dependent and also the independentvariables.

a. True
b. False

6.

SST can never be bigger than SSE.

a. True
b. False

7.

If the coefficient of correlation is a an adverse value, climate thecoefficient of decision is negative.

a. True
b. False

8.

In regression analysis, the unbiased calculation of the variance isthe complete error.

a. True
b. False

9.

The F test and also the t test provide identical results for simplelinear regression.

a. True
b. False

10.

The interval calculation of an individual worth of y for a givenvalue that x is confidence interval estimate.

a. True
b. False

11.

The most widely used method of estimating regression equationsis the

a. T test statistics method.
b. F test statistics method.
c. The very least squares method.
d. Pure deviation method.

12.

The the very least squares an approach provides an estimated regressionequation the minimizes the amount of squared deviations in between theobserved values of the dependent variable and also the approximated valuesof the

a. Live independence variable.
b. F variable.
c. Coefficient variable.
d. Dependent variable.

13.

In a simple regression analysis (where Y is a dependent and X anindependent variable), if the Y intercept is positive, then

a. Over there is a hopeful correlation between X and also Y.
b. If Y is increased, then X should decrease.
c. If X is decreased, climate Y need to decrease.
d. Nobody of the above.

14.

In regression analysis, i m sorry of the following is a requiredassumption around the error ax ??

a. The expected value of the error term is one.
b. The variance of the steep is the exact same for all worths ofX.
c. The error term is generally distributed.
d. The values of the error term space dependent.

15.

In regression analysis, i m sorry of the complying with isnot a forced assumption about the error term??

a. The meant value of the error term is one.
b. The error ax is normally distributed.
c. The typical of the error ax is zero.
d. The worths of the error term space independent.

16.

In an easy linear regression analysis, i beg your pardon of the complying with isused to test for significance?

a. F test
b. T test
c. Chi-squared test
d. Either a or b.

17.

In straightforward linear regression analysis, i m sorry of the following istrue?

a. The F test and the t test yield the exact same conclusion.
b. The relationship in between X and Y is stood for with astraight line.
c. The worth of F = t2.
d. All of the above.

18.

Rejecting the null hypothesis in regression evaluation can be usedas proof of

a. A far-reaching relationship between variables.
b. A cause-and-effect relationship.
c. Handy significance.
d. All of the above.

19.

Simply dividing each residual by its traditional deviation providesthe

a. The very least squares line.
b. Coefficient that determination.
c. Standardization residual.
d. Forecast interval.

20.

Observations with extreme values for the independent variablesare called

a. Biased errors.
b. High value points.
c. High leverage points.

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