Unit Test — Unit test Answers

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A guidance counselor wants to determine if there is a relationship between a student’s number of absences, x, and their grade point average (GPA), y. The data that were collected are displayed in the scatterplot and the least-squares regression line was calculated. One student with 2 absences has a GPA of 1.8. This point is circled on the graph.

Question illustration
A
This point will increase the value of the slope and increase the value of the y-intercept.
B
This point will increase the value of the slope and decrease the value of the y-intercept.
C
This point will decrease the value of the slope and increase the value of the y-intercept.
D
This point will decrease the value of the slope and decrease the value of the y-intercept.
23

The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The computer output displays the regression analysis.Which of the following is the best interpretation of the coefficient of determination r2?

Question illustration
A
About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length.
B
About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
C
About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length.
D
About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
24

The population of a village is modeled by the function P(t) = 890e0.024t, where P is the population after t years. What does 890 represent?

A
population growth rate
B
initial population of village
C
population of village after 1 year
D
maximum possible value for population
25

A popular social media platform has begun offering stock shares to the public. In the past 2 years, the price of the stock has generally increased. An investment specialist gathers data on the stock price over the past 2 years and proposes two models for estimating the growth of the stock, as shown in the scatterplots.

Question illustration
A
A power model is suitable because the scatterplot of log(weeks) against log(stock price) shows a curved relationship.
B
A linear model is suitable because the scatterplot of weeks against log(stock price) shows a strong linear relationship.
C
An exponential model is suitable because the scatterplot of log(weeks) against log(stock price) shows a curved relationship.
D
An exponential model is suitable because the scatterplot of weeks against log(stock price) shows a strong linear relationship.

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Unit Test — Unit test Answers — FLEX - Math 4