Question

In: Computer Science

A researcher determined that the correlation between height in inches and 50 yard dash time in...

A researcher determined that the correlation between height in inches and 50 yard dash time in seconds for 123 eleven year old boys in a city recreation program was -.51. Which statement below is the best interpretation of this findinf?
a. As height increases, this CAUSES speed to decrease
b. Tall boys run faster than short boys over 50% of the time
c. There is some tendancy for dash scores to decrease as height increases
d. There is a very poir relationship between height and dash scores since the correlation is negative
e. the taller the person the larger tends to be his dash score

Solutions

Expert Solution

Negative correlation in the given problem indicates that there is an inverse relationship between height and dash time. So, as height increases, dash time decreases and vice-versa.

Option a: As height increases, this CAUSES speed to decrease

This is incorrect because in statistics, we cannot declare one variable to certainly be the CAUSE of change in value of another.

Option b: Tall boys run faster than short boys over 50% of the time

This is also incorrect because the value of -0.51 correlation just means that height accounts for more than 50 percent of the variance in dash time.

Option c: There is some tendancy for dash scores to decrease as height increases

This is correct as we established in the beginning above that there is an inverse relationship between height and dash time.

Option d is wrong since the relation is quite established and not poor.

Option e is wrong since taller person has lower dash score.


Related Solutions

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...
4. NFL Combine The 40-yard dash time (i.e. the amount of time it takes to run...
4. NFL Combine The 40-yard dash time (i.e. the amount of time it takes to run 40 yards of the prospective NFL running backs is normally distributed with a mean of 4.53 seconds and a standard deviation of 0.2 seconds. For the corner backs, it is also normally distributed with a mean of 4.46 seconds and a standard deviation of 0.3 seconds. (a) Find the probability that a running back finishes the 40 yard dash between 4.33 and 4.73 seconds....
A correlation of r = +0.7 between gender and height.
Information For each of Questions 1 to 5, is the given value of the correlation coefficient reasonable? Hint: think about the strength and the direction of the relationship between the two variables in each case. Note: It is subjective to decide whether the magnitude of the correlation between two variables should be, for example, 0.7 or 0.8. The below questions don't ask you to make a decision like this. Question 1  A correlation of r = +0.7 between gender and...
Body frame size is determined by a person's wrist circumference in relation to height. A researcher...
Body frame size is determined by a person's wrist circumference in relation to height. A researcher measures the wrist circumference and height of a random sample of individuals. The data is displayed below. Excel Output: Regression Statistics Multiple R 0.8165 R Square 0.6666 Adjusted R Square 0.6564 Standard Error 3.9002 Observations 35 Coefficients Standard Error t-Stat P-value (Intercept) 31.5385 5.0273 6.2735 4.32 E -7 wrist 5.7874 0.7126 8.122 2.25 E -9 Round answers to 4 decimal places. a) Write the...
50 years ago, the mean height for women in their 20’s was 62.6 inches. Assume that...
50 years ago, the mean height for women in their 20’s was 62.6 inches. Assume that the heights of today’s women in their 20’s are approximately normally distributed with a standard deviation of 2.88 inches. If the mean height today is the same as that of a halfcentury ago, what percentage of all samples of size 25 today’s women have mean heights of at least 64.24 inches? please show work.
If a researcher found that there was a correlation of r = -0.67 between the number...
If a researcher found that there was a correlation of r = -0.67 between the number of siblings a person has and introversion, and the researcher sampled n = 30 people, what conclusions can you make about this relationship
1. Calculate the Correlation between height and weight, using centimeters and kilograms 2. Calculate the Correlation...
1. Calculate the Correlation between height and weight, using centimeters and kilograms 2. Calculate the Correlation between height and weight, using inches and pounds 3. Compare these correlations. What would you conclude? 4. Create a Scatter plot graph of these data. Graph: Select Pounds in the X axis and Inches in the Y Insert a scatter graph Click on the first graph Click on Drawing Tools and then layout: Select Axis Titles: write the titles Do the same thing for...
A researcher is interested in determining whether there is a correlation between number of packs of...
A researcher is interested in determining whether there is a correlation between number of packs of cigarettes smoked # packs of cigarettes smoked (X) (Y) 0 80 0 70 1 72 1 70 2 68 2 65 3 69 3 60 4 58 4 55 day and longevity (in years). n=10.
A researcher decides to examine whether there is a correlation between cost of a packet of...
A researcher decides to examine whether there is a correlation between cost of a packet of chocolate chip cookies (rounded to the nearest dollar) and degree of customer satisfaction (on a scale of 1 - 10 with a 1 being not at all satisfied and a 10 being extremely satisfied). A sample of the data is provided below. Dollars (X) Satisfaction (Y) 11 6 18 8 17 10 15 4 9 9 5 6 12 3 19 5 22 2...
A researcher is interested in determining whether there is a correlation between number of packs of...
A researcher is interested in determining whether there is a correlation between number of packs of cigarettes smoked per day and longevity (in years). n=10. Longevity # packs of cigarettes smoked (X) (Y) 0 80 0 70 1 72 1 70 2 68 2 65 3 69 3 60 4 58 4 55
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT