Question

The slope of the regression equation for the following data is:

X | 43 | 48 | 56 | 61 | 67 | 55 |
---|---|---|---|---|---|---|

Y |
128 |
120 |
135 |
143 |
141 |
130 |

Select one:

A. 0.8476

B. 0.8262

C. 0.7852

D. 0.6285

Answer #1

Solution

x | y | xy | |

43 | 128 | 1849 | 5504 |

48 | 120 | 2304 | 5760 |

56 | 135 | 3136 | 7560 |

61 | 143 | 3721 | 8723 |

67 | 141 | 4489 | 9447 |

55 | 130 | 3025 | 7150 |

n = 6 observation

The slope of the regression equation can be determined by the using the formula

The slope of the regression equation is

Option B is correct

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
(a) x=160 calories
(b) x=100 calories
(c) x=130 calories...

Find the slope of the equation of the least-squares regression
line for the following data set.
x
y
59
-119
24
-35
50
-107
47
-73
41
-78
72
-117
40
-55
Round your answer to two decimal places.

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

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

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
768
628
518
511
491...

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

Use the given data to do the following. a. Find the regression
equation for the data points.
b. Graph the regression equation and the data points.
x
44
11
33
55
22
y
55
00
44
77
33

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, x Stories, y
768 52
628 48
518 ...

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
Calories,x
150
170
120
130
70
190
(a)
x=180...

find the equation of the regression line for the given data.
x
y
430
150
480
170
320
130
380
120
290
70
530
180
Predict the value of
Y for x=180
x=100
x=140
x=210

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 39 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 2 hours ago

asked 2 hours ago

asked 3 hours ago

asked 3 hours ago

asked 4 hours ago

asked 4 hours ago

asked 4 hours ago

asked 4 hours ago