Regressions Review

Regressions Review

Multiple Choice

r=0.3

• Strong positive 
• Weak positive
• Strong negative
• Weak negative 

Multiple Choice

r=-0.89

• Strong positive 
• Weak positive 
• Strong negative 
• Weak negative 

Multiple Choice

A linear regression is the same as a line of best fit.

• true
• false

Multiple Choice

What is the regression line?

• f(x)= 5x+1.82

• cannot be determined

• f(x)= 1.82x + 5.02

• f(x)= 1.1x + 4.2

Multiple Choice

The linear regression equation is y = 61.93x - 1.79. According to the model, the slope can be interpreted as:

• After 0 hours of driving, they went 61.93 miles.

• They drove at a speed of 61.93 miles per hour.

• They drove 61.93 miles total.

• They drove 61.93 hours total.

Multiple Choice

A person travels by car. They record their miles driven in a data table. Calculate the linear regression equation of this data.

• y = 61.93x - 1.79

• y = -1.79x + 61.93

• y = 0.016x + 0.03

• y = 0.03x + 0.016

Multiple Choice

A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data.

• y = 1.5x + 12

• y = 12x + 1.5

• y = 0.67x - 8

• y = -8x + 0.67

Multiple Choice

The linear regression equation for the data is  y = 1.5x + 12.  Use the equation to predict the cost of a pizza that has 8 toppings.

• $8

• $12

• $24

• $28

Multiple Choice

The linear regression equation for the data is y = 1.5x + 12. Interpret the slope of the equation.

• The slope is (0, 1.5). It means that a pizza with 0 toppings will cost 1.5 dollars.

• The slope is 1.5. It means that it costs 1.5 dollars per topping.

• There are 1.5 toppings.

• There are 1.5 pizzas.

Multiple Choice

The table shown is comparing a person's foot length to their height in cm. Calculate a line of best fit.

• f(x) = 25.05x + 5.57

• f(x) = 5.57x + 25.05

• f(x) = -5.57x + 25.05

• f(x) = 5.57x - 25.05

Multiple Choice

What type of correlation best describes the scatterplot shown.

• positive, weak

• positive, strong

• negative, weak

• no correlation

Multiple Choice

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Multiple Choice

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Multiple Choice

The linear regression equation is y = 61.93x - 1.79.  Use the equation to predict how far this person will travel after 10 hours of driving.

• 10 miles
• 617.5 miles
• 0.19 miles
• 500 miles