Scatterplots & Linear Regression

Scatterplots show trends in data.

• True
• False

Describe the relationship.

• Strong positive correlation
• Moderate (between strong and weak)  negative correlation
• Weak positive correlation
• No correlation

A linear regression is finding a line of best fit.

• true
• false

What type of association does this graph have?

• positive 
• negative
• none
• all of the above

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

The table shown is comparing a person's foot length to their height in cm. What is the relationship between foot length and height?

• strong; r = .99
• strong; r = .97
• weak; r = .38
• weak; r = .58

What would be the correlation between study time and test grades?

• positive
• negative
• none
• cannot be determined

The table shown is comparing a person's foot length to their height in cm. What might the height of a person be with a foot length of 30 cm?

• 185 cm
• 180 cm
• 190 cm
• 192 cm

Tags

CCSS.HSA.CED.A.2

CCSS.HSA.REI.D.10

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

What would the correlation between elevation and temperature?

• none
• cannot be determined
• positive correlation
• negative correlation

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

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

Tags

CCSS.HSA.CED.A.2

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

Using your linear regression, what is y when x is 30?

• 61.59
• 52.46
• 57.94
• 59.76

Tags

CCSS.HSA.CED.A.2

CCSS.HSS.ID.C.7