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Worksheetsquiz1
Total questions: 38
Worksheet time: 1hrs 11mins
Name
Class
Date
1.
Describe the correlation in the graph shown.
a)
Strong Negative
b)
Strong Positive
c)
Weak Negative
d)
Weak Positive
2.
Describe the correlation in the graph shown.
a)
Strong Negative
b)
Strong Positive
c)
Weak Negative
d)
No Correlation
3.
Describe the correlation in the graph shown.
a)
Strong Negative
b)
Strong Positive
c)
Weak Negative
d)
Weak Positive
4.
A correlation shows that two things are
a)
related
b)
causing each other
c)
unrelated
d)
best friends
5.
What type of correlation does this graph have?
a)
positive
b)
negative
c)
none
d)
all of the above
6.
What type of correlation does this graph have?
a)
positive
b)
negative
c)
none
d)
curved
7.
What type of correlation does this graph show?
a)
Positive
b)
negative
c)
none
d)
curved
8.
You are analyzing a scatter plot that has a negative correlation. What is true of the of the x and y values?
a)
As x increases, y decreases
b)
As x increases, y increases
c)
As x decreases, y decreases
9.
1. Mrs. Collins made a scatterplot to show the relationship between the number of absences and a student’s final exam score. Based on this scatterplot, a student with 6 absences should get approximately what score on the final exam?
a)
65
b)
92
c)
70
d)
76
10.
What type of correlation describes the following sentence:
The temperature outside and the number of hot chocolate sold at a football game.
The temperature outside and the number of hot chocolate sold at a football game.
a)
postive
b)
negative
c)
no
d)
Is Logan talking?
11.
What type of correlation describes the following sentence:
The number of people that go the pool and the temperature outside.
The number of people that go the pool and the temperature outside.
a)
positive
b)
negative
c)
no
d)
Is Macey being mean?
12.
What would the correlation be between math grades and the time it takes to run a mile ?
a)
Postive Correlation
b)
Negative Correlation
c)
No Correlation
d)
Cannot Be Determined
13.
What type of correlation (association)?
The outside temperature and the amount of layers you wear.
The outside temperature and the amount of layers you wear.
a)
Positive correlation
b)
Negative correlation
c)
No correlation
14.
Interpret the slope of the Least Squares Line Equation.
a)
Income increases by 31.45 with each additional hour worked.
b)
Income increases by 31.45
c)
As hours increases by one, income will increase by 31.45, on average
d)
As hours increases by one, income will increase by 31.45
15.
Determine the predicted income if 22 hours were worked on an assembly job.
a)
$207.30
b)
$449.60
c)
$691.90
d)
$543.30
16.
What would the correlation between elevation and temperature be?
a)
none
b)
cannot be determined
c)
positive correlation
d)
negative correlation
17.
Which is the best description of the y - intercept for the linear regression equation of the rats: weight^ = 100 + 40(time)?
a)
The y-intercept is 100 which means the rat is predicted to weigh about 100 grams at birth.
b)
The y-intercept is about 100, which is where the graph crosses the y-axis.
c)
About 100 is where the data starts on the y-axis.
d)
The y-intercept is about 40g. Indicating a significant amount of growth since birth.
18.
Estimate the correlation coefficient.
a)
r = -0.8
b)
r = -0.5
c)
r = 0.5
d)
r = 0.8
19.
Estimate the correlation coefficient.
a)
r = 0
b)
r = -1
c)
r = 1
d)
r = 2
20.
Estimate the correlation coefficient for this scatterplot.
a)
r = 1.2
b)
r = 0.89
c)
r = 0
d)
r = -0.89
21.
Estimate the correlation coefficient for this scatterplot.
a)
r = -0.9
b)
r = 1
c)
r = 0.9
d)
r = -1
22.
Which scatter plot shows no relationship?
a)
Graph A
b)
Graph B
c)
Graph C
d)
Graph D
23.
What is the line of best fit?
a)
f(x)= 5x+1.82
b)
cannot be determined
c)
f(x)= 1.82x + 5.02
d)
f(x)= 1.1x + 4.2
24.
Using your linear regression, what is y when x is 30?
a)
61.59
b)
52.46
c)
57.94
d)
59.76
25.
Write the equation for the table given
a)
y = 1/3x
b)
y = 3x
c)
y = 1/2x
26.
What type of correlation best describes the scatterplot shown.
a)
positive, weak
b)
positive, strong
c)
negative, weak
d)
no correlation
27.
What type of correlation best describes the scatter plot shown?
a)
positive, weak
b)
positive, strong
c)
negative, weak
d)
negative, strong
28.
What correlation coefficient would be describe the correlation?
a)
0
b)
-0.999
c)
0.978
d)
0.2
29.
Which correlation coefficient best describes the correlation shown?
a)
0
b)
-0.75
c)
-0.3
d)
0.3
30.
Which type of regression model does the scatter plot appear to show?
a)
linear
b)
exponential
c)
quadratic
31.
Which type of regression model does the scatter plot appear to show?
a)
linear
b)
exponential
c)
quadratic
32.
The linear regression equation is y = 61.93x - 1.79. Use the equation to predict how far this person will travel after 10 hours of driving.
a)
10 miles
b)
617.5 miles
c)
0.19 miles
d)
500 miles
33.
The linear regression equation is y = 61.93x - 1.79. According to the model, the slope can be interpreted as:
a)
After 0 hours of driving, they went 61.93 miles.
b)
They drove at a speed of 61.93 miles per hour.
c)
They drove 61.93 miles total.
d)
They drove 61.93 hours total.
34.
A person travels by car. They record their miles driven in a data table. Calculate the linear regression equation of this data.
a)
y = 61.93x - 1.79
b)
y = -1.79x + 61.93
c)
y = 0.016x + 0.03
d)
y = 0.03x + 0.016
35.
Determine the curve of best fit. Hint: view the scatter plot and check correlation coefficients to determine which is the best fit.
a)
y = -2.7x + 7.4
b)
y = 0.95x2 - 2.08x - 0.75
c)
y = -.05x - 3.26
d)
y = 0.95x2 + 2.08x + 0.75
36.
Find the quadratic equation for the relationship of the horizontal distance and the height of the ball.
a)
y= -18x2 + 2.11x + 4.21
b)
y= -.06x2 +1.06x + 7.9
c)
y= -6x2 +1.06x + 79
d)
y= -.12x2 + 2.11x + 4.22
37.
Is the pictured graph growth, decay, or linear or none?
a)
Exponential Growth
b)
Exponential Decay
c)
Linear
d)
None
38.
Which scatter plot diagram shows the strongest positive correlation?
a)
b)
c)
d)
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