Linear Regression

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

Tags

CCSS.8.EE.C.8C

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

Tags

CCSS.8.EE.C.8C

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

Describe the correlation in the graph shown.

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

Tags

CCSS.HSF-LE.A.1B

The equation of the least squares regression line for a set of data is y=0.68+1.21x. What is the residual for the point (3, 4)?

• -0.31

• -0.68

• -1.52

• -3.63

• -4.31

Tags

CCSS.8.EE.C.8C

(true or False) The correlation coefficient is -1< r < 1

• true

• false

(True or False) The population correlation coefficient is called "rho"?

• true

• false

What are the critical values for a hypothesis test if there are 10 ordered pairs at a level of significance of 10% ?

• -1.860,1.860

• -1.372,1.372

• -1.812,1.812

• -1.397,1.397

We set up a hypothesis test for correlation with the null hypothesis being

• p not equal to 0

• p less than or equal to 0

• p greater than equal to 0

• p equal to 0

If we reject the null hypothesis the way we set them up in our homework

• We have enough evidence to suggest that there is no significant correlation

• We have enough evidence to suggest that there is significant correlation

• We do not have enough evidence to suggest that there is significant correlation

• None of the above