Regression Line and MORE!

What is the correlation between length of running start and distance of jump?

• positive:  the further you run the further you jump
• negative: the less you run the less distance of your jump
• positive: the further your running start the less your distance

Make a prediction for a resting heart rate after 6 hours of exercise a week.

• 6
• 50
• 55
• 59

The scatter plot below shows the number of books read by students in Mrs. Hall’s English class and their final grades. Which statement represents the best description about the line of best fit?

• The more books students read, the lower their English grade.
• The more books students read, the higher their English grade.
• The fewer books students read, the higher their English grade. 
• No relationship exists between the number of books students read and their English grades. 

Which scatter plot shows no relationship?

• Graph A
• Graph B
• Graph C
• Graph D

Describe the correlation in the graph shown.

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

The linear regression equation for the data is  y = 1.5x + 12.  Interpret the slope of the equation.

• The slope is (0, 1.5).  It means that a pizza with 0 toppings will cost $1.50.
• The slope is 1.5.  It means that it costs $1.50 per topping.
• There are 1.5 toppings.
• There are 1.5 pizzas.

The linear regression equation for the data is  y = 1.5x + 12.  Interpret the y-intercept of the equation.

• The y-intercept is 1.5.  It means that a pizza with 0 toppings will cost $1.50.

• The y-intercept is (0,12). It means that when there are 0 toppings then the cost of pizza is $12.

• There are 12 toppings.

• There are 12 pizzas.

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. 

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 slope mean in context of the problem?

• Each week the rat weighs 100 grams more.

• At birth the rat weighs 40 grams.

• The current weight of the rat. 
• Each week the rat's weight increases by 40 grams.

Estimate the value of r:

• 0.03
• -0.99
• 0.79
• -0.72