L3-5 and 3-6 Review
By Sam Schneider
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Last updated about 1 year ago
20 Questions
1 point
1
Question 1
1.
What type of association is shown by the data in the scatter plot?
What type of association is shown by the data in the scatter plot?
1 point
1
Question 2
2.
What type of association is shown by the data in the scatter plot?
What type of association is shown by the data in the scatter plot?
1 point
1
Question 3
3.
What type of association is shown by the data in the scatter plot?
What type of association is shown by the data in the scatter plot?
1 point
1
Question 4
4.
What type of association is shown by the data in the scatter plot?
What type of association is shown by the data in the scatter plot?
1 point
1
Question 5
5.
What type of association is shown by the data in the scatter plot?
What type of association is shown by the data in the scatter plot?
1 point
1
Question 6
6.
Select all and only the statements that are true of positive associations.
Select all and only the statements that are true of positive associations.
1 point
1
Question 7
7.
Match each definition with the appropriate vocabulary term.
Match each definition with the appropriate vocabulary term.
arrow_right_alt | positive association | |
arrow_right_alt | negative association | |
arrow_right_alt | extrapolation | |
arrow_right_alt | interpolation | |
arrow_right_alt | correlation coefficient |
1 point
1
Question 8
8.
Which equation best models the data shown in the following scatter plot?
Which equation best models the data shown in the following scatter plot?
1 point
1
Question 9
9.
What type of correlation is demonstrated by the data in the table below?
What type of correlation is demonstrated by the data in the table below?
1 point
1
Question 10
10.
Which of the following trend lines best fits the underlying scatter plot data?
Which of the following trend lines best fits the underlying scatter plot data?
1 point
1
Question 11
11.
When Hana goes to the mall, she always buys the same lunch and also buys some books. The total amount of money she spends, y, is a function of the number of books she buys, x. Which of the following statements are true about this function?
When Hana goes to the mall, she always buys the same lunch and also buys some books. The total amount of money she spends, y, is a function of the number of books she buys, x. Which of the following statements are true about this function?
1 point
1
Question 12
12.
Hana models her spending in the scenario above with the function f(x)=5.5x+11.
A) Use her equation to predict how much she will spend if she buys 8 books.B) If Hana's original data include purchases of anywhere from 1 to 4 books, is your answer to (A) an example of "extrapolation" or "interpolation"?
Hana models her spending in the scenario above with the function f(x)=5.5x+11.
A) Use her equation to predict how much she will spend if she buys 8 books.
B) If Hana's original data include purchases of anywhere from 1 to 4 books, is your answer to (A) an example of "extrapolation" or "interpolation"?
1 point
1
Question 13
13.
If a linear regression reveals an r value of -0.62376, what can be said about the correlation?
If a linear regression reveals an r value of -0.62376, what can be said about the correlation?
1 point
1
Question 14
14.
Given the following results from a linear regression on a data set, provide the equation of the line of best fit for the data. Round all constants and coefficients to the nearest tenth.
Given the following results from a linear regression on a data set, provide the equation of the line of best fit for the data. Round all constants and coefficients to the nearest tenth.
1 point
1
Question 15
15.
Choose the best explanation for the model described by the residual plot.
Choose the best explanation for the model described by the residual plot.
1 point
1
Question 16
16.
Emmy measures the temperature of some hot water left out in the open at various times while the water cools. She then uses a trend line to theorize what the water's temperature was at the moment between two of her measurements. This is an example of:
Emmy measures the temperature of some hot water left out in the open at various times while the water cools. She then uses a trend line to theorize what the water's temperature was at the moment between two of her measurements. This is an example of:
1 point
1
Question 17
17.
Ricardo calculates a line of best fit for a data set with integer x-values 1 through 6. Using a line of best fit with the equation y = –3x + 21 to predict the value of y when x = 10 is an example of:
Ricardo calculates a line of best fit for a data set with integer x-values 1 through 6. Using a line of best fit with the equation y = –3x + 21 to predict the value of y when x = 10 is an example of:
1 point
1
Question 18
18.
Below is sample data relating the hour at which Mr. Schneider wakes up with the amount of coffee (in fl oz) he drinks throughout the day. Is there a correlation if you model his data with a linear equation? Is there a causal relationship?
Below is sample data relating the hour at which Mr. Schneider wakes up with the amount of coffee (in fl oz) he drinks throughout the day. Is there a correlation if you model his data with a linear equation? Is there a causal relationship?
1 point
1
Question 19
19.
When a scientist is concerned with the strength of a correlation but not the direction, she may refer to the "r squared" value, r^{2}, which is simply the square of the correlation coefficient, r. Does this make sense? How helpful or harmful is it? Explain your reasoning.
When a scientist is concerned with the strength of a correlation but not the direction, she may refer to the "r squared" value, r^{2}, which is simply the square of the correlation coefficient, r. Does this make sense? How helpful or harmful is it? Explain your reasoning.
1 point
1
Question 20
20.
Vocabulary Bonanza! Match each noun phrase with its correct counterpart.
Vocabulary Bonanza! Match each noun phrase with its correct counterpart.
arrow_right_alt | a pair of values associated with a single unit of observation | |
arrow_right_alt | a visual representation of the solution set of the equation | |
arrow_right_alt | An ordered pair of values (x, y) such that those values make the linear equation a true statement. | |
arrow_right_alt | The linear equation which results from a regression (e.g., one that minimizes the sum of the squared residuals) | |
arrow_right_alt | a number -1\leq r\leq 1 that measures the strength and direction of a correlation | |
arrow_right_alt | a transformation of a function in which every point moves the same distance in the same direction | |
arrow_right_alt | the set of all possible inputs of a function | |
arrow_right_alt | the set of all outputs of a function |