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Question
name:
unit 3 exam (a)
period: 1 date 11/5
directions: answer the following questions to the best of your ability. you are working silent and solo.
→ for multiple choice questions (#1 - #3), circle the correct answer(s).
→ for free response questions (#4 - #6), explain your reasoning by circling the correct answer from the underlined options, filling in the blank, and using the vocabulary in the word blank
- which one of these graphs represents the residuals for a scatter plot that is fit well by a linear model?
- twenty - one young men got a quote for the cost of a car insurance policy. the policy cost and ages of the men are represented by the scatter plot.
select the two the statements that are true about the data in ( y=-315.67x + 8986.5 )
( r=-0.951 )
a. every 19 - year - old in this group has a lower cost of car insurance than the 18 - year - olds.
b. car insurance policy cost tends to decrease as the age of a driver increases.
c. the value of the correlation coefficient is very close to - 1, so there is no association between age and car insurance policy cost.
d. the line of best fit indicates that, in general, the cost of a car insurance policy for a 21 - year - old should be, on average, about $315 less than the cost of a car insurance policy for a 20 - year - old.
e. the y - intercept from the line of best fit indicates that, if the linear trend holds, a car insurance policy would be $0 for a person who is about 8,987 years old.
Step1: Analyze option a
The scatter - plot does not imply that every 19 - year - old has a lower cost than every 18 - year - old. There could be overlap in the data points for different ages.
Step2: Analyze option b
The slope of the regression line \(y=-315.67x + 8986.5\) is negative (\(m=-315.67\)). In a linear regression model \(y = mx + b\), a negative slope means that as \(x\) (age) increases, \(y\) (car insurance cost) decreases.
Step3: Analyze option c
A correlation coefficient \(r=-0.951\) (close to - 1) indicates a strong negative association, not no association.
Step4: Analyze option d
The slope of the regression line \(m=-315.67\). This means that for each one - unit increase in \(x\) (age), \(y\) (car insurance cost) decreases by approximately \(315.67\). So, the cost for a 21 - year - old (\(x = 21\)) is about \(315.67\) less than the cost for a 20 - year - old (\(x = 20\)) on average.
Step5: Analyze option e
The \(y\) - intercept \(b = 8986.5\) in the equation \(y=-315.67x + 8986.5\) is the value of \(y\) when \(x = 0\), not when \(y = 0\). To find when \(y = 0\), we solve \(0=-315.67x+8986.5\), \(x=\frac{8986.5}{315.67}\approx28.5\)
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b. Car insurance policy cost tends to decrease as the age of a driver increases.
d. The line of best fit indicates that, in general, the cost of a car insurance policy for a 21 - year - old should be, on average, about \(\$315\) less than the cost of a car insurance policy for a 20 - year - old.