1. The correlation coefficient:

Is a number with a range from -1 to 1

If there is no correlation, the coefficient is negative

If the correlation coefficient is negative, it indicates a strong positive relationship between x and y

All of the above

2. The independent variable is also known as the response variable.

True

False

3. A positive straight line relationship:

Shows that as the values of y increase, the values of x decrease

Shows that as the values of x increases, the values of y decreases

Shows that as the values of y decreases, the values of x remain constant

Shows that as the values of x increase, the values of y increase

4. Outliers usually:

Do not affect the correlation coefficient.

Should be included when calculating the correlation coefficient.

Should be identified before doing any calculation.

5. Are usual values that are within 2 standard deviations from either side of the mean.

A simple regression model uses a straight line to make predictions about future events.

True

False

6. The equation of the regression line:

It is written in standard form

It is written in point-slope form

It is written in quadratic form

It is written in slope-intercept form

7. The coefficient of determination, along with the correlation coefficient, will help us determine if it is worth it to continue a regression analysis of the sample we have at hand.

True

False

8. Once we have a simple regression line, we can use it to predict values for the independent variable X and the dependent variable Y.

True

False

9. The assumptions we use to determine the validity of predictions include:

The sample is collected very carefully

For any specific value of x, the value of y must be normally distributed about the regression line.

The standard deviation of each independent variable must be the same for each independent variable

All of the above

10. Because some people are unable to stand to have their height measured, doctors use the height from the floor to the knee to approximate their patients' height (in cm).

Image description:

A table with 2 columns. The first column has a header of "Height of Knee" with the following numbers: 57.7, 47.5, 43.5, 44.8, 55.6, and 54.9. The second column has a header of "Overall Height" with the following numbers: 192.3, 153.3, 146.2,160.4, 171.4, and 176.7.

a. determine the correlation coefficient of this data

b. determine the regression equation of this data

c. Find the overall height from a knee height of 47.3 cm

d. Find the overall height from a knee height of 55.2 cm

Choose one

a. r = 0.83833586

b. Equation: y = 2.5163x + 39.226

c. 158.24699

d. 178.12576

a. r = 0.91541578

b. Equation: y = 2.5163x + 39.226

c. 158.24699

d. 178.12576

a. r = 0.91541578

b. Equation: y = 2.5163x + 39.226

c. 157.4921

d. 177.6225

a. r = 0.0.83833586

b. Equation: y = 2.5163x + 39.226

c. 157.4921

d. 177.6225