Vocabulary
Explanatory VS. Response
Correlation
Regression Lines
Scatterplots and Regression Lines
100

the independent quantitative variable

explanatory variable

100

[Find the Explanatory] daily calorie intake and weight

explanatory: calorie intake

100

r is always between these two numbers

1 and -1

100

What is the equation for a regression line?

ŷ = a + bx

100

How outliers affect the strength of an association?

they weaken/lower strength

200

the three things you must mention when describing an association

form, direction, strength

200

[Find the Response] The average income and life expectancy in a sample of countries.

response: life expectancy

200

Interpret correlation by giving strength and direction

r=-0.936

negative and strong

200

ŷ=75385 - 0.7455x

x= miles driven 

y= price

A truck has driven 38465 miles, predict the price of the truck.

What is $46,709.34

200

Which of the following shows a strong negative association?

D

300

A measure of the strength and direction of a linear relationship between two quantitative variables represented by the letter 'r'

correlation coefficient

300

[Find the explanatory] A botanist wants to compare the effect different amounts of fertilizers have on plant growth. 

exp: different amounts of fertilizer

300

What correlation measure is r=0?

no correlation

300

What is the explanatory variable according to the computer output below?

lead (ppm)

300

A

400

using regression line for a prediction outside the range of x-values used to obtain the line is called:

extrapolation

400

[Find the response] A basketball coach wants to compare the effect that three different training programs have on player's max vertical jump.

response: max vertical jump

400

D. 0.90

400

What is the y-intercept in the computer output below?

16.3

400

What is the predicted blood pressure for a person with a stress score of 73?

78.07

500

A line used to predict possible response values also called a 'line of best fit'

least-square regression line

500

[Find the explanatory AND the response] amount owed in taxes and annual income

Expl: income

Resp: Taxes

500

Which value of a correlation coefficient represents the strongest relationship between the two variables in a given linear regression model? 

A) -0.96 

B) 0.53

C) 0 

D) 0.81

A

500

Write the equation for the least-square regression line given the table below:

haty=61.423 + 4.778x

500

A student believes caffeine intake could be associated with exam score. Using the regression analysis below, what would be the predicted exam score for a person who intake 450 mg of caffeine?

76.344

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