Question
In: Statistics and Probability
A researcher is interested in a possible relationship between height and the time it takes to...
A researcher is interested in a possible relationship between height and the time it takes to run a 100 meters. With a random sample of 57 people, the researcher finds a Pearson correlation coefficient r = − 0.492.
Group of answer choices
A. There is a very strong correlation between these variables. As height increases, generally the 100-meter run time decreases.
B. There is a very strong correlation between these variables. As height increases, generally the 100-meter run time increases as well.
C. There is no correlation between these variables. As height increases, there is no general trend in what happens with the 100-meter run time.
D. While not very strong, there is a moderate correlation between these variables. In general, as height increases, the 100-meter run time will also increase.
E. While not very strong, there is a moderate correlation between these variables. In general, as height increases, the 100-meter run time will decrease.
Solutions
Expert Solution
A. There is a very strong correlation between these variables. As height increases, generally the 100-meter run time decreases.
orchestra answered 2 years agoRelated Solutions
A researcher is interested in the mean amount of time it takes people to complete a...
A researcher is interested in the mean amount of time it takes
people to complete a personality questionnaire. He selects 40
people at random and calculates the mean amount of time to be 20.4
min with a variance of 17.64 min2 .
a) Define the parameter of interest.
b) Define the random variable of interest.
c) Name the distribution required to calculate confidence
intervals. (Check the relevant criteria.)
d) Construct a 98% confidence interval for the true mean amount
of...
A researcher is interested to learn if there is a relationship between the level of interaction...
A researcher is interested to learn if there is a relationship
between the level of interaction a women in her 20s has with her
mother and her life satisfaction ranking. Below is a list of women
who fit into each of four level of interaction. Conduct a One-Way
ANOVA on the data to determine if a relationship exists.
State whether or not a relationship exists and why or why
not. Explain in as much detail as possible.
No Interaction
Low...
A researcher is interested to learn if there is a linear relationship between the hours in...
A researcher is interested to learn if there is a linear
relationship between the hours in a week spent exercising and a
persons life satisfaction. The researchers collected the following
data from a random sample, which included the number of hours spent
exercising in a week and a ranking of life satisfaction from 1 to
10 ( 1 being the lowest and 10 the highest).
Participant Hours of Exercise Life Satisfaction
1 3 1
2 14 2
3 14 4...
A sports researcher is interested in determining if there is a relationship between the number of...
A sports researcher is interested in determining if there is a
relationship between the number of home wins depends on the sport.
A random sample of 200 games is selected and the results are given
below.
Football Basketball Soccer Baseball
Home team wins 30 20 15 35
Visiting team wins 20 30 35 15
What is the test statistic value for the above data?
A 4
B 10
C 20
D None of the above
A sports researcher is interested in determining if there is a relationship between the number of...
A sports researcher is interested in determining if there is a
relationship between the number of home team and visiting team wins
and different sports. A random sample of 633 games is selected and
the results are given below. Conduct test of hypothesis to test the
claim that the number of home team and visiting team wins is
independent of the sport. Use a=0.05.
Football
BasketBall
Soccer
Baseball
Hometeam Wins
89
165
91
49
Visiting Team Wins
60
89
52...
A researcher is interested to learn if there is a linear relationship between the hours in...
A researcher is interested to learn if there is a linear
relationship between the hours in a week spent exercising and a
person’s life satisfaction. The researchers collected the following
data from a random sample, which included the number of hours spent
exercising in a week and a ranking of life satisfaction from 1 to
10 ( 1 being the lowest and 10 the highest). PLEASE help in
SPSS.
Participant
Hours of Exercise
Life Satisfaction
1
3
1
2
14...
A researcher wants to determine if there is a linear relationship between height and weight. The...
A researcher wants to determine if there is a linear
relationship between height and weight. The following table
represents the data collected. Display the data in a scatter plot
on your calculator, draw a quick sketch below. Then find the linear
regression and put the line of best fit on the sketch. Then state
the value for the correlation coefficient and determine if this is
a positive correlation or no correlation using the table in the
back of the book....
A researcher is interested in determining whether there is a relationship between the weekly number of...
A researcher is interested in determining whether there is a
relationship between the weekly number of room air-conditioning
units sold and the time of year. What type of descriptive chart
would be most useful in performing this analysis? Explain your
choice.
***SHOW SPSS** A researcher is interested to learn if there is a linear relationship between the...
***SHOW SPSS**
A researcher is interested to learn if there is a linear
relationship between the hours in a week spent exercising and a
person’s life satisfaction. The researchers collected the following
data from a random sample, which included the number of hours spent
exercising in a week and a ranking of life satisfaction from 1 to
10 ( 1 being the lowest and 10 the highest).
Participant
Hours of Exercise
Life Satisfaction
1
3
1
2
14
2
3...
1. A researcher is interested to learn if there is a linear relationship between the hours...
1. A researcher is interested to learn if there is a linear
relationship between the hours in a week spent exercising and a
person’s life satisfaction. The researchers collected the following
data from a random sample, which included the number of hours spent
exercising in a week and a ranking of life satisfaction from 1 to
10 ( 1 being the lowest and 10 the highest). Participant Hours of
Exercise Life Satisfaction 1 3 1 2 14 2 3 14...
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- Let p0 = 1+x; p1 = 1+3x+x2; p2 = 2x+x2; p3 = 1+x+x2 2 R[x]. (a)...
- A: Provide a numerical example of how Earned Value Management may mislead us as to whether...
- Daryl wishes to save money to provide for his retirement. Beginning one month from now, he...
- L= {w belongs to {0,1}* | the number of 0's is a prime number} . Prove...
- What are Foyal's five management functions? Identify which organizational units accomplish these functions in your airport...
- An air conditioning unit, where water condensation is allowed, cools 9,791 m3 / min of humid...
- how do u calculate value of a bond You consider purchasing $1000 face value 7 year...
ADVERTISEMENT