Resources

Resources

Bytelearn - cat image with glasses

AI tutor

Welcome to Bytelearn!

Let’s check out your problem:

Read the following description of a data set. $\newline$ Gabe is a kinesiologist and is interested in how different athletic abilities are related. He selected several subjects with similar athletic backgrounds and compared their abilities in the long jump and the high jump.He measured how far, $x$ , and how high, $y$ , each subject could jump (in meters).The least squares regression line of this data set is: $y = 0.407x - 0.566$ $\newline$ Complete the following sentence: $\newline$ For each additional meter in a person's long jump, the least squares regression line predicts that he or she can clear an extra ___ meters in the high jump.

View step-by-step help

View step-by-step help

Interpret regression lines

Full solution

Q. Read the following description of a data set.

\newline

Gabe is a kinesiologist and is interested in how different athletic abilities are related. He selected several subjects with similar athletic backgrounds and compared their abilities in the long jump and the high jump.He measured how far,

x

, and how high,

y

, each subject could jump (in meters).The least squares regression line of this data set is:

y = 0.407x - 0.566

\newline

Complete the following sentence:

\newline

For each additional meter in a person's long jump, the least squares regression line predicts that he or she can clear an extra ___ meters in the high jump.

Regression Line Explanation: The least squares regression line provided is $y = 0.407x - 0.566$ . In this equation, $y$ represents the predicted height in meters that a person can clear in the high jump, and $x$ represents the distance in meters that the same person can jump in the long jump. The coefficient of $x$ ( $0.407$ ) indicates the change in the predicted high jump height for each additional meter in the long jump.
Coefficient Interpretation: To find out how many extra meters a person can clear in the high jump for each additional meter in the long jump, we look at the coefficient of $x$ in the regression equation. The coefficient is $0.407$ , which means for each additional meter in the long jump, the regression line predicts an increase of $0.407$ meters in the high jump.

More problems from Interpret regression lines

Question

Michael surveyed

2

politicians from his state about their views on certain issues.

\newline

Is this sample of citizens of the state likely to be biased?

\newline

\newline

\newline

Posted 1 month ago

Question

Read the following description of an experiment.

\newline

A massage therapist has received complaints that the fragrance of her massage oil is unpleasant. She is testing whether a new oil will improve each clients' experience.

\newline

The massage therapist randomly sorts her clients into two groups. She massages

5

clients from the first group with the new oil and

5

from the other group with her usual oil. She asks all

10

clients to rate their massages.

\newline

Is this experiment statistically well designed?

\newline

\newline

\newline

Posted 1 month ago

Question

A random sample of

35

four-door passenger vehicles had a mean gas mileage, in miles per gallon

(\mathrm{mpg})

25.9 \mathrm{mpg}

. The estimate had a margin of error of

2.6 \mathrm{mpg}

98 \%

confidence level. Of the following, which is the most plausible value for the true mean gas mileage of all four-door passenger vehicles?

\newline

1

\newline

24 \mathrm{mpg}

\newline

29 \mathrm{mpg}

\newline

32 \mathrm{mpg}

\newline

35 \mathrm{mpg}

Posted 2 months ago

Question

1

578

randomly selected American adults,

44.8 \%

of the respondents said that airlines should allow in-flight calls on airplanes. The poll reported a margin of error of

2.5 \%

95 \%

confidence level. Which of the following is most likely to be equal to the percentage of all American adults who would say that airlines should allow in-flight calls?

\newline

1

\newline

40 \%

\newline

43 \%

\newline

48 \%

\newline

95 \%

Posted 4 months ago

Question

Malik walked up and back down an empty

18 \mathrm{~m}

long escalator at a constant rate. Since the escalator was going up at the time, it took him only

22.5 \mathrm{~s}

. Going down took Malik

90

s. Assume the escalator speed is constant.

\newline

What was Malik's walking speed?

\newline

\frac{\mathrm{m}}{\mathrm{s}}

Posted 2 months ago

Question

Two baseball players are warming up by throwing balls to the catcher. The two players are located

10

yards apart, and the angle from each player to the catcher is

55^{\circ}

71^{\circ}

, respectively. What is the distance from the farthest baseball player to the catcher?

\newline

10.125

\newline

11.687

\newline

14.501

\newline

14.790

Posted 2 months ago

Question

Select the outlier in the data set.

\newline

74,84,86,87,89,91,92,98,126

Posted 2 months ago

Question

p

\begin{array}{l}\frac{p}{8}=\frac{7}{9} \\p=\square\end{array}

Posted 2 months ago

Question

Jelani needs to hire at least

12

artists for an upcoming event. He needs to hire visual artists, who will be paid

\$300

for the event, and performers, who will be paid

\$480

for the event. His budget for paying the artists is no more than

\$6,000

. He must hire at least

4

visual artists and at least

3

performers. Which of the following does not satisfy all of the conditions described?

\newline

1

\newline

4

visual artists and

10

\newline

8

visual artists and

8

\newline

\$300

0

visual artists and

3

\newline

\$300

2

visual artists and

4

Posted 1 month ago

Question

\newline

k^2 + 9k + 18

\newline

\newline

Posted 2 months ago