Regression EOC Review

1. 1. Write the linear regression for the table below

• y=20.29x + 145.95

• y= 145.95x + 20.29

• y= 24.8x + 129.4

• y = 129.4x + 24.8

What kind of correlation?

• Positive
• Negative
• No

What kind of correlation?

• Positive
• Negative
• No

Determine the Correlation Coefficient and decide whether it is weak, moderate, or strong.

• 0.07 weak
• -0.26 weak
• -0.26 moderate
• 0.07 strong

Determine the Correlation Coefficient and decide whether it is weak, moderate, or strong.

• -0.19 weak
• -0.19 moderate
• 0.04 weak
• 0.04 strong

The annual profits for a company are given in the following table, where x represents the number of years since 1992, and y represents the profit in thousands of dollars. Write the linear regression equation that represents this set of data, rounding all coefficients to the nearest hundredth. Using this equation, estimate the year in which the profits would reach 378 thousand dollars.

• 2029

• 2014

• 2003

• 8753

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

• 5,000
• 2,620
• 17,000
• 20,200

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

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.