Question

Run a regression analysis on the following data set, where yis the final grade in a math class and xis the average number of hours the student spent working on math each week.

hours/week x |
Grade y |
---|---|

5 | 53 |

5 | 50 |

8 | 60.2 |

9 | 60.6 |

9 | 68.6 |

10 | 68 |

11 | 64.4 |

11 | 71.4 |

20 | 100 |

20 | 100 |

State the regression equation y=m⋅x+b, with constants accurate to
two decimal places.

What is the predicted value for the final grade when a student
spends an average of 11 hours each week on math?

Grade = Round to 1 decimal place.

Answer #1

The statistical software output for this problem is:

Hence,

Regression equation will be:

y = **3.24** x + **34.67**

Predicted value of final grade = **70.3**

Run a regression analysis on the following data set, where yy is
the final grade in a math class and xx is the average number of
hours the student spent working on math each week.
hours/week
x
Grade
y
7
65.8
8
65.2
9
58.6
10
76
11
77.4
11
64.4
13
70.2
16
98.4
17
91.8
19
100
State the regression equation y=m⋅x+by=m⋅x+b, with constants
accurate to two decimal places.
What is the predicted value for the final...

The following regression model is used to predict a student's
grade in their final test:
Grade = B0 + B1 Study Hours +
B2 Sleep Hours + B3 Tutoring + e
Where:
Grade = score on test out of 100
StudyHours = hours studied in the week before the test
SleepHours = hours slept the night before the test
Tutoring = whether of not the student went to tutoring before
the test (not attending tutoring is the omitted condition)
A...

Run a regression analysis on the following bivariate set of data
with y as the response variable.
x
y
74.1
53.3
81.3
65.5
64.4
79
102.4
35.8
73
59.4
45.4
110.1
66.4
84.9
73.8
70
52
97.5
70.2
86.9
91.1
43.3
Predict what value (on average) for the response variable will
be obtained from a value of 62.2 as the explanatory variable. Use a
significance level of α=0.05α=0.05 to assess the strength of the
linear correlation.
What is the predicted...

The data below represent the number of days absent, x, and the
final grade, y, for a sample of college students at a large
university. Complete parts (a) through (e) below.
No. of absences, x
0
1
2
3
4
5
6
7
8
9
Final grade, y
88.6
85.7
82.6
80.1
77.177.1
72.672.6
63.2
67.4
64.4
61.4
(a) Find the least-squares regression line treating the number
of absences, x, as the explanatory variable and the final grade,
y, as...

1.) You are interested in predicting the final grade of students
in a business course. You collect data on the number of hours
studied and final grade for 8 students. Using the data provided
below, find the predicted linear regression equation. Do this long
hand on notebook paper. You must show all of
your calculations. Take calculations out to the 4th decimal place.
Do not round up or round down.
Your answers must clearly show your answers for bo, b1, and...

Run a regression analysis on the following bivariate set of data
with y as the response variable.
x
y
28.8
90.1
30.6
139.6
12.6
42.2
18.1
94.8
13.9
28.5
31.9
102.4
-3.9
-13.4
16.7
57.1
11
55.8
16.8
76.3
31.7
80.1
43.5
123.8
Find the correlation coefficient and report it accurate to three
decimal places.
r =
What proportion of the variation in y can be explained by
the variation in the values of x? Report answer as a
percentage...

Run a regression analysis on the following bivariate set of data
with y as the response variable.
x
y
48
41.8
39.2
67.4
34.7
68.4
42.9
50.2
49
50.6
45.6
57
58.7
29.7
40.5
68.4
47.4
34.7
45.7
50.9
38.9
47.7
40.9
53.6
Find the correlation coefficient and report it accurate to three
decimal places.
r =
What proportion of the variation in y can be explained by
the variation in the values of x? Report answer as a
percentage...

Run a regression analysis on the following bivariate set of data
with y as the response variable.
x
y
81.1
86
77.5
60.4
92.7
126.5
104
132.5
85
53.1
64.3
95.5
64.6
31.7
39.7
5.7
82.3
121.3
82.4
98.2
29.2
-50.2
34.2
-1
Find the correlation coefficient and report it accurate to three
decimal places.
r =
What proportion of the variation in y can be explained by
the variation in the values of x? Report answer as a
percentage...

Run a regression analysis on the following bivariate set of data
with y as the response variable.
x
y
16.1
47.3
10.6
42.8
22.4
50.6
33.3
67.6
47.8
61.1
41.4
62.1
30.2
57.9
30.6
53.6
33
57.4
9.7
41.2
19.3
49.6
Verify that the correlation is significant at an α=0.05. If the
correlation is indeed significant, predict what value (on average)
for the explanatory variable will give you a value of 54 on the
response variable.
What is the predicted...

Run a regression analysis on the following bivariate set of data
with y as the response variable.
x
y
51.3
17.4
60.8
88.6
37.4
32.9
44.6
53.4
53.7
53.6
52.2
41.5
32.7
28.6
62.4
84.7
47.4
35.7
39.8
33.7
62.1
123
62
83.7
Find the correlation coefficient and report it accurate to three
decimal places.
r = _______
What proportion of the variation in y can be explained by
the variation in the values of x? Report answer as a...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 14 minutes ago

asked 19 minutes ago

asked 24 minutes ago

asked 26 minutes ago

asked 29 minutes ago

asked 36 minutes ago

asked 47 minutes ago

asked 51 minutes ago

asked 54 minutes ago

asked 54 minutes ago

asked 1 hour ago

asked 1 hour ago