Corelation and Regression MCQs

Corelation and Regression

Suppose the correlation coefficient between height (as measured in feet) versus weight (as measured in pounds) is 0.40. What is the correlation coefficient of height measured in inches versus weight measured in ounces? [12 inches = one foot; 16 ounces = one pound] :

0.40

0.30

0.533

cannot be determined from information given e. none of these

Author: rikazzz Comment

Corelation and Regression

If the coefficient of determination is 0.81, the correlation coefficient :

is 0.6561

could be either + 0.9 or – 0.9

must be positive

must be negative

Author: rikazzz Comment

Corelation and Regression

Larger values of r 2 (R2 ) imply that the observations are more closely grouped about the :

average value of the independent variables

average value of the dependent variable

least squares line

origin

Author: rikazzz Comment

Corelation and Regression

In a regression and correlation analysis if r 2 = 1, then :

SSE = SST

SSE = 1

SSR = SSE

SSR = SST

Author: rikazzz Comment

Corelation and Regression

A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation: ! = 50,000 – 8X The above equation implies that an :

increase of $1 in price is associated with a decrease of $8 in sales

increase of $8 in price is associated with an increase of $8,000 in sales

increase of $1 in price is associated with a decrease of $42,000 in sales

increase of $1 in price is associated with a decrease of $8000 in sales

Author: rikazzz Comment

Corelation and Regression

In least squares regression, which of the following is not a required assumption about the error term ε?

The expected value of the error term is one.

The variance of the error term is the same for all values of x.

The values of the error term are independent.

The error term is normally distributed)

Author: rikazzz Comment

Corelation and Regression

If the coefficient of determination is equal to 1, then the correlation coefficient :

must also be equal to 1

can be either -1 or +1

can be any value between -1 to +1

must be -1

Author: rikazzz Comment

Corelation and Regression

The variables whose calculation is done according to the weight, height and length and weight are knownas:

Flowchart Variables

Discrete Variables

Continuous Variables

Measuring Variables

Author: rikazzz Comment

Corelation and Regression

The correlation coefficient is used to determine:

A specific value of the y-variable given a specific value of the x-variable

A specific value of the x-variable given a specific value of the y-variable

The strength of the relationship between the x and y variables

None of these

Author: rikazzz Comment

Corelation and Regression

SSE can never be :

larger than SST

smaller than SST

equal to 1

equal to zero

Author: rikazzz Comment