5.5 Linear Regression - IP

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.HSA.CED.A.2

CCSS.HSS.ID.C.7

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

Tags

CCSS.HSA.CED.A.2

CCSS.HSF.IF.B.4

CCSS.HSF.IF.B.6

CCSS.HSF.LE.A.2

CCSS.HSS.ID.C.7

What is the line of best fit?

• f(x)= 5x+1.82
• cannot be determined
• f(x)= 1.82x + 5.02
• f(x)= 1.1x + 4.2

Tags

CCSS.HSA.CED.A.2

CCSS.HSF.IF.B.4

CCSS.HSF.IF.C.7

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

• 5,000
• 2,620
• 17,000
• 20,200

Tags

CCSS.HSA.CED.A.1

CCSS.HSF.LE.A.2

CCSS.HSS.ID.C.7

Determine the linear regression equation for the data set. Use desmos table and the formula  $y_1\sim mx_1+b$  

• y=20.8x-35

• y=-35x+20.8

• y=.99x-35

• y=.98x+.99

Tags

CCSS.HSA.CED.A.2

CCSS.HSF.IF.B.4

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

Determine the correlation coefficient for the data set. Use desmos table and the formula
   $y_1\sim mx_1+b$  

• r=.99

• r=.98

• r=20.7

• r=-35

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CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

The table shows the lengths and corresponding ideal weights of sand sharks. Which r-value is more accurate for the data?

• r = 0.99

• r = -0.90

• r = 0.09

• r = -0.099

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

The table shows the attendance at a flag football game for the first 8 games of the season. What is the correlation of the data?

• Strong Positive

• Strong negative

• Weak Postive

• Weak Negative

• No correlation

Tags

CCSS.HSS.ID.C.8