Linear Regression

Data was collected on the weight of a male  laboratory rat for the first 25 weeks after its birth. The linear regression equation is 
y= 40x+100, where x is number of weeks and y is weight in grams. 
What does the y-intercept mean in context of the problem?

• The predicted weight of the rat in year 0. 
• The predicted weight of the rat at birth. 
• The current weight of the rat. 
• The average increase in the rat's weight. 

Tags

CCSS.HSS.ID.C.7

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

If x is temperature and y is coffee sales, use the following formula to determine the coffee sales on a 34° day.

y = -60x+6443

• $4584

• $4673

• $8303

Tags

CCSS.HSF.LE.B.5

Which of the following could be a possible line of best fit for the data?

• y = -5/2x + 20
• y = -x + 19
• y = x + 20
• y = 2/3x + 15 

Tags

CCSS.HSA.CED.A.2

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

Describe the correlation in the graph shown.

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

A driving range charges $4 to rent a golf club plus $2.75 for every bucket of golf balls you hit. Write an equation that shows the total cost c of hitting b buckets of golf balls.

• c = 2.75b + 4
• c = 2.75b
• c =  4b- 2.75
• c = 2.75b - 4

Tags

CCSS.8.F.B.4

CCSS.HSF.LE.A.2

Belinda's car needed repairs. The mechanic charged him $140 for the parts and an additional $48 an hour for labor. Write an equation that models this situation.

• y = 140x +48

• y = -48x +140

• y = 48x +140

• y = 48x

Tags

CCSS.HSA.CED.A.2

CCSS.HSF.BF.A.1

CCSS.HSF.LE.A.1

CCSS.HSF.LE.A.2

Based on the scatter plot, which statement best describes the trend?

• As the daily temperature increases, the number of beach visitors increases.

• As the daily temperature decreases, the number of beach visitors increases.

• As the daily temperature increases, there is no change in the number of beach visitors

• As the daily temperature increases, the number of beach visitors decreases

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

What type of correlation (association)?
The outside temperature and the amount of layers you wear. 

• Positive correlation
• Negative correlation
• No correlation

Tags

CCSS.HSF-LE.A.1B

What type of correlation?
The temperature outside and the amount of ice cream sales. 

• Positive correlation
• Negative correlation
• No correlation

Tags

CCSS.HSF-LE.A.1B