Question

Determine the equation of the regression line for the following data, and compute the residuals.

x |
15 | 9 | 18 | 13 | 5 |

y |
48 | 38 | 56 | 44 | 24 |

Do not round the intermediate values. *(Round your
answers to 3 decimal places.)*

y^=

+(

)x

Do not round the intermediate values. **(Round your
answers to 3 decimal places.)**

x |
y |
Residuals |

15 | 48 | |

9 | 38 | |

18 | 56 | |

13 | 44 | |

5 | 24 |

Answer #1

Determine the equation of the regression line for the following
data, and compute the residuals.
x 16 8 19 13 6
y 46 37 56 43 21
Do not round the intermediate values. (Round your
answers to 3 decimal places.)
y^= ??? + ( ???)x
Do not round the intermediate values. (Round your
answers to 3 decimal places.)
x
y
Residuals
16
46
8
37
19
56
13
43
6
21

Given are data for two variables, x and y.
xi
6
11
15
18
20
yi
7
7
13
21
30
(a)
Develop an estimated regression equation for these data. (Round
your numerical values to two decimal places.)
ŷ =
(b)Compute the residuals. (Round your answers to two decimal
places.)
xi
yi
Residuals
6
7
11
7
15
13
18
21
20
30
(c)Compute the standardized residuals. (Round your answers to
two decimal places.)
xi
yi
Standardized
Residuals
6
7...

Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
x
15
12
5
6
11
9
10
7
14
8
13
y
18.82
18.41
6.82
9.39
17.67
15.27
16.62
11.66
18.99
13.61
18.86
^
y = ___ +___x (Round to two decimal places as needed.

Find the y-intercept of the regression line for the following
data set. Round your answers to 3 decimal places.
X
Y
2
2
4
7
8
25
10
26
13
38
16
50

For the data set below,
(a) Determine the least-squares regression line.
(b) Compute the sum of the squared residuals for the least-squares
regression line.
x 20 30 40 50 60
___________________
y 106 95 82 70 54
(a) Determine the least-squares regression line.
^
y =[]x +[] ( round to four decimal places as needed.)

Data for two variables, x and y, follow.
xi
1 2 3 4 5
yi
5 9 7 13 16
(a)
Develop the estimated regression equation for these data. (Round
your numerical values to two decimal places.)
ŷ = 2.20+2.60x
Compute the studentized deleted residuals for these data. (Round
your answers to two decimal places.)
xi
yi
Studentized
Deleted Residual
1
5
2
9
3
7
4
13
5
16

Use the given data to find the equation of the
regression line (round your answers to 3 decimal
places).
x
y
1
0
1
2
2
2
5
3
3
5
y^=b0+b1x
b0: Answer
b1: Answer

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height comma xHeight, x
772
628
518
508
496...

Determine the value of the coefficient of correlation,
r, for the following data.
X 4 6 7 11
15 17 21
Y 18 13 13 8 7 7 6
(Round the intermediate values to 3 decimal places.
Round your answers to 3 decimal places.)
r = ___

Test the slope of the regression line for the following data.
Use α=.01.
x 140 120 103 92 62 30 24
y 24 29 45 70 88 112 128
(Do not round the intermediate values. Round your answer to 2
decimal places.)
Observed t =
Fail to reject null hypothesis or reject null hypothesis

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 10 minutes ago

asked 21 minutes ago

asked 22 minutes ago

asked 22 minutes ago

asked 25 minutes ago

asked 49 minutes ago

asked 51 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago