A local gym tracks the number of members over the years. The data shows a linear relationship between the year and the number of members. If the regression equation is $y = 50x + 200$, where $x$ is the number of years since 2010, how many members are expected in 2023?
Analyzing Residuals and Graphing Linear Relationships

Quiz
•
English, Mathematics
•
9th Grade
•
Hard
Anthony Clark
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
750
1000
900
850
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The same gym wants to analyze how well their regression model predicts actual membership numbers. In 2022, they had 350 members. Calculate the residual for that year using the regression equation from the previous question.
-50
-200
50
100
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A car rental company finds that the cost of renting a car can be modeled by the equation $y = 30x + 50$, where $y$ is the total cost and $x$ is the number of days rented. Graph this linear relationship and identify the y-intercept and slope.
Slope: 30, Y-intercept: 40
Slope: 20, Y-intercept: 50
Slope: 50, Y-intercept: 30
Slope: 30, Y-intercept: 50
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A student collects data on the number of hours studied and test scores. The regression line is given by the equation $y = 5x + 60$. If a student studies for 4 hours, what is the predicted test score?
80
100
70
90
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Using the same regression line from the previous question, if the actual test score for the student who studied for 4 hours was 78, what is the residual?
-4
-6
2
10
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A researcher is studying the relationship between temperature and ice cream sales. The regression equation is $y = 10x + 200$, where $x$ is the temperature in degrees Celsius. If the temperature is 25 degrees, how many ice creams are expected to be sold?
300
500
400
450
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the ice cream sales problem, if the actual sales on that day were 270, calculate the residual. What does this residual indicate about the prediction?
-30
100
-50
0
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