Linear Regression

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

What type of association does this graph have?

• positive
• negative
• none
• all of the above

Tags

CCSS.HSS.ID.B.5

What type of correlation does this scatterplot display?

• Positive

• Negative

• No Correlation

Tags

CCSS.HSS.ID.B.5

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

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

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

Find the equation of the line of best fit for the given data

• y = 163.41x+1.49

• y =- 163.41x+ 4.19

• y =- 4.19x+163.41

• y = 4.19x -163.41

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

If outliers are eliminated from the data set shown, which equation best represents a line of best fit for the data?

• y = 6.31x + 62.05

• y = 6.49x + 62.62

A department store has several retail outlets across the state. Each store has a different number of employees, and consequently produces varying amounts of annual sales.

Which equation is the regression equation for this situation?

• y = 20x

• y = 21x

• y = 21.4x - 10.1

• y = 21.4x - 11.3

Tags

CCSS.8.EE.C.8C