If the pt. in the upper rt. corner is removed, what will happen to the slope of the LSRL and r?

The slope will decrease and r will increase

Which of the following are ways that you can re-express data?

Log of y, Log of x, Log of x and y, Square root y

Suppose the correlation between two variables is .9. Which of the following is false?

There's not an exponential relationship between x and y

All but one of the following statements contains a blunder. Which one could be true?

The correlation between a car's wt. and mpg is .97.

Which of the following statements regarding residual plots are true?

If there's no curved pattern, then a linear model is good.

Which of the following statement(s) about outliers is/are true?

A point can have high leverage and not be influential.

A company's sales increase by about the same amount each year. Which of the following is true?

The residual plot will show a strong curved pattern.

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APS U2 MC Test Review

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MC Test review and test taking strategies for AP Statistics Unit 2.

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Questions 10

Answers

1
If the pt. in the upper rt. corner is removed, what will happen to the slope of the LSRL and r?
The slope will decrease and r will increase
Both will increase
Both will decrease
The slope will increase and r will decrease
2
Which of the following are ways that you can re-express data?
Log of y
Log of x
Log of x and y
Square root y
3
Given the regression equation for transformed data ln y = 4.125 + log x, find y when x = 3.
99.6956
40,0005.6430
1.5265
4.6021
4
Suppose the correlation between two variables is .9. Which of the following is false?
As x increases, y increases
The linear model would work well to make predictions
There is a strong linear relationship between x and y
There's not an exponential relationship between x and y
5
All but one of the following statements contains a blunder. Which one could be true?
The correlation between gender and political party is -.37.
The correlation between people's hair color and age is .69.
The correlation between a car's wt. and mpg is .97.
The correlation between hrs studying and test score is 1.17.
6
Which of the following statements regarding residual plots are true?
If there's no curved pattern, then a linear model is good.
If there's no curved pattern, then r is strong.
If there's a strong curved pattern, then r is weak.
All of the above are true.
7
The following computer printout is data on chess players. What is the LSRL?
Winnings = 178,124HrsStudy+4852
Winnings=178,124HrsStudy+2.56
Winnings=4852HrsStudy+0.1209
Winnings=4852HrsStudy+178,124
8
Which of the following statement(s) about outliers is/are true?
A point can have high leverage and not be influential.
Removal of an influential point always changes the LSRL.
A point with high leverage always is influential.
Influential points always have relatively large residuals.
9
A company's sales increase by about the same amount each year. Which of the following is true?
There's a strong linear relationship.
The correlation will be close to 1.
The residual plot will show a strong curved pattern.
The correlation will be close to 0.
10
The correlation between the % correct answers and % incorrect answers on a test is...
Close to 0
Exactly 1
Exactly 0
Exactly -1

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