Question
In: Statistics and Probability
Use the shoe print lengths and heights shown below to find the regression equation, letting shoe...
Use the shoe print lengths and heights shown below to find the regression equation, letting shoe print lengths be the predictor (x) variable. Then find the best predicted height of a male who has a shoe print length of 27.627.6 cm. Would the result be helpful to police crime scene investigators in trying to describe the male? Use a significance level of alphaαequals=0.05
|
Shoe Print (cm) |
29.729.7 |
29.729.7 |
31.631.6 |
31.931.9 |
27.127.1 |
||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
Foot Length (cm) |
25.7 |
25.4 |
27.9 |
26.7 |
25.1 |
||||||
|
Height (cm) |
175.5175.5 |
177.9177.9 |
185.2185.2 |
175.5175.5 |
172.3172.3 |
Solutions
orchestra answered 2 years agoRelated Solutions
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best...
Find the regression equation, letting the first variable be the
predictor (x) variable. Find the best predicted Nobel Laureate
rate for a country that has 78.1.
Internet users per 100 people. How does it compare to the
country's actual Nobel Laureate rate of 1.6 per 10 million
people?
Find the equation of the regression line.
Y^= _____ + ______x.
(Round the constant to one decimal place as needed. Round the
coefficient to three decimal places as needed.)
The best predicted...
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best...
Find the regression equation, letting the first variable be the
predictor (x) variable. Find the best predicted Nobel Laureate
rate for a country that has 78.2 Internet users per 100 people. How
does it compare to the country's actual Nobel Laureate rate of 1
per 10 million people?
Internet Users Per 100 Nobel Laureates
79.5 5.5
80.6 24.2
77.8 8.7
45 0.1
82.7 6.1
37.9 0.1
89.2 25.3
88.9 7.6
79.8 9
83.6 12.8
52.8 1.9
77.3 12.7
56.5 3.3...
Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted...
Find the regression equation, letting the diameter be the
predictor (x) variable. Find the best predicted circumference of a
marble with a diameter of 1.9 cm. How does the result compare to
the actual circumference of 6.0 cm? Use a significance level of
0.05.
_ Diameter Circumference
Baseball 7.3 22.9
Basketball 23.6 74.1
Golf 4.2 13.2
Soccer 21.8 68.5
Tennis 6.9 21.7
Ping-Pong 4.0 12.6
Volleyball 20.8 65.3
The regression equation is y^= + x.
(Round to five decimal places as...
Find the equation of the regression line by letting Row 1 represent the x- values and...
Find the equation of the regression line by letting Row 1
represent the x- values and Row 2 represent the y- values. Now find
the equation of the regression line letting Row 2 represent the x-
values and Row 1 represent the y- values. What effect does
switching the explanatory and responsive variables have on the
regression line?
Row 1: -5 -3 4 1 -1 -2 0 2 3 -4
Row 2: -10 -8 9 1 -2 -6 -1 3...
A.) Find the regression equation, letting the first variable be the predictor (x) variable. Using the...
A.) Find the regression equation, letting the first variable be
the predictor (x) variable. Using the listed actress/actor ages
in variousyears, find the best predicted age of the Best Actor
winner given that the age of the Best Actress winner that year is
34 years. Is the result within 5 years of the actual Best Actor
winner, whose age was 52 years?
Best Actress
29
29
29
58
34
33
46
28
64
23
45
54
Best Actor
44
37...
9. Find the regression equation, letting overhead width be the predictor (x) variable. Find the best...
9. Find the regression equation, letting overhead width be the
predictor (x) variable. Find the best predicted weight of a seal
if the overhead width measured from a photograph is 2.3 cm. Can the
prediction be correct? What is wrong with predicting the weight in
this case? Use a significance level of 0.05.
Overhead_Width_(cm) Weight_(kg)
7.8 157
7.4 171
9.6 258
8.2 173
7.2 151
7.6 174
What is the regression equation?
Ŷ=____+____x
(Round to two decimal places as needed.)...
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted...
Find the regression equation, letting overhead width be the
predictor (x) variable. Find the best predicted weight of a seal
if the overhead width measured from a photograph is 1.5 cm. Can the
prediction be correct? What is wrong with predicting the weight in
this case? Use a significance level of 0.05.
Overhead Width (cm)
8.2
8.1
9.7
8.6
9.8
8.9
Weight (kg)
156
182
241
171
241
210
The regression equation is
(Round to one decimal place as needed.)...
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted...
Find the regression equation, letting overhead width be the
predictor (x) variable. Find the best predicted weight of a seal
if the overhead width measured from a photograph is 2cm. Can the
prediction be correct? What is wrong with predicting the weight in
this case? Use a significance level of 0.05 from table = .811.
Overhead Width (cm) 7.6 8.1
9.5 8.9 9.1 7.9
Weight
(kg)
142 193 244 193
224 179
The regression equation is y (with caret) =...
find the regression? equation, letting the first variable be the predictor? (x) variable. Using the listed?...
find the regression? equation, letting the first variable be the
predictor? (x) variable. Using the listed? lemon/crash data, where
lemon imports are in metric tons and the fatality rates are per?
100,000 people, find the best predicted crash fatality rate for a
year in which there are 525 metric tons of lemon imports. Is the
prediction? worthwhile? Lemon Imports 226 270 354 483 544 Crash
Fatality Rate 16 15.7 15.5 15.4 15 Find the equation of the
regression line y...
The data show the chest size and weight of several bears. Find the regression equation, letting...
The data show the chest size and weight of several bears. Find
the regression equation, letting chest size be the independent
(x) variable. Then find the best predicted weight of a bear with a
chest size of 51 inches. Is the result close to the actual weight
of 342 pounds? Use a significance level of 0.05.
Chest size (inches)
45
50
43
43
52
52
Weight (pounds)
352
374
275
314
440
367
What is the regression equation? y=___+___x (round...
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- 3) You are rolling a 12 sided die 8 times. a) What is the size for...
- explain the difference between quantitative and qualitative research strategies. Provide an example of a crime based...
- use postorder and inorder tree traversals to make preorder traversal. #!/usr/bin/env python3 # encoding: UTF-8 """Turning...
- 1. Write an if-else statement to describe an object. Print "Balloon" if isBalloon is true and...
- An investor is considering purchasing a Treasury bond with a 20 year maturity, an 8% coupon...
- Write a program that copies the contents of one file to a destination file. This program...
- how to conduct a marketing mix for 3d crest white strips
ADVERTISEMENT