If a researcher found a significant correlation of .83 between years of education and hours spent...

If a researcher found a significant correlation of .83 between years of education and hours spent attending Golden State Warriors' basketball games, what would it mean?

a. People with more education spend more time attending Warriors' basketball games.

b. People with more education spend less time attending Warriors' basketball games.

c. People hate Warriors

d. People with less education spend less time attending Warriors' basketball games.

e. People with less education spend more time attending Warriors' basketball games.

Solutions

Expert Solution

Here we are given that , a researcher found a significant correlation of .83 between years of education and hours spent attending Golden State Warriors' basketball games, We have to tell , what would it mean?

And the available choices are as follows:-

a. People with more education spend more time attending Warriors' basketball games.

b. People with more education spend less time attending Warriors' basketball games.

c. People hate Warriors

d. People with less education spend less time attending Warriors' basketball games.

e. People with less education spend more time attending Warriors' basketball games.

Here, our Correlation Coefficient, r = 0.83

Which means, the two variables Years of Education and Hours spent attending Golden State Warriors' Basketball games, these two variables have a high Positive Correlation.

A Positive Correlation means, both the variables move in the same direction i.e. if one increases, the other also increases and if one decreases the other too decreases.

Hence, out of the given alternatives, we find that two alternatives are correct.

And the correct alternatives are :-

a. People with more education spend more time attending Warriors' basketball games.

d. People with less education spend less time attending Warriors' basketball games.

Hence,

If a researcher found a significant correlation of .83 between years of education and hours spent attending Golden State Warriors' basketball games, then it means :

a. People with more education spend more time attending Warriors' basketball games.

d. People with less education spend less time attending Warriors' basketball games.

This answers your question.

If you have understood the answer please rate Positively.

orchestra answered 1 year ago

Next > < Previous

Related Solutions

Claim: There is a significant correlation between test 1 scores and the hours a student spent...

Claim: There is a significant correlation between test 1 scores and the hours a student spent studying. Use the data-analysis add-in to complete the hypothesis test for the correlation coefficient using level of significance of 0.05. Hours Spent Studying Test 1 Scores 8 91 6 83 6 75 12 85 4 90 6 80 7 67 7 82 5 88 9 87 5 95 3 91 2 73 13 80 4 83 10 92 12 94 0 68 3 75...

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

A researcher is interested in studying average hours per year spent on continuous medical education by...

A researcher is interested in studying average hours per year spent on continuous medical education by physicians in a large hospital system. The data is limited to demographics (age, race, gender), professional characteristics (years worked in the field, specialty) and self-reported hours of CME. What is the independent variable? What is the dependent variable? Is the dependent variable continuous or categorical? Is the independent variable(s) continuous or categorical?

If a researcher found a Person correlation of r = 0.32 between aggression and frequency of...

If a researcher found a Person correlation of r = 0.32 between aggression and frequency of binge drinking in a sample of n = 52 undergraduate students. Therefore, he can conclude that __________. A. there is no significant relationship between these variables with either, p <.05 and p <.01 B. there is a significant positive relationship between these variables with p <.05 but not with p <.01. C. there is a significant positive relationship between these variables with both, p...

A Pearon’s r correlation revealed a significant relationship between time spent outside at age four and...

A Pearon’s r correlation revealed a significant relationship between time spent outside at age four and creativity in kindergarten, r(16) = .51, p=???, (two-tailed). Answer the following questions based on this result. What is the null hypothesis in this scenario? Calculate the coefficient of determination for this scenario. If a journalist made an error in causality when writing an article about these findings, what would they be concluding based on this scenario (one sentence is sufficient)? What is the sample...

A positive correlation (r=60) is found between time spent outside at age four and creativity in...

A positive correlation (r=60) is found between time spent outside at age four and creativity in kindergarten. Describe what prediction can be made in regards to creativity in kindergartden for a child who spent a lot of time outside at age four. If a journalist made an error in causality when writing an article about these findings, what would they be concluding based on this scenario? If the researcher had a sample size of 13 and started with a directional...

A sample of 83 women found that the mean length of time they spent sleeping daily...

A sample of 83 women found that the mean length of time they spent sleeping daily was 7.0 hours with standard deviation 1.8 hours. An independent sample of 65 men found that the mean length of time they spent sleeping daily was 6.6 hours with standard deviation 1.7 hours. At the 5% level of significance, can we show women sleep more on average than men? (a) Do an appropriate test. State conclusions. (b) Find the p-value of the test.

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.

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...

A study conducted by the MLC on campus found the number of hours spent at the...

A study conducted by the MLC on campus found the number of hours spent at the MLC during a week. The distribution of times spent at the MLC is normally distributed with an average of 75 minutes and a standard deviation of 18 minutes. (a) If a single student that uses the MLC is selected at random, what is the probability that this student spent between 80 and 100 minutes at the MLC that week? (b) Now if a sample...

Researchers found that a person in a particular country spent an average of 5.8 hours a...

Researchers found that a person in a particular country spent an average of 5.8 hours a day watching TV in 2010. Assume the population standard deviation is 1.7 hours per day. A sample of 40 people averaged 6 hours of television viewing per day. Does this result support the findings of the study? z Subscript x overbar equalsnothing (Round to two decimal places as needed.) Upper P left parenthesis x overbar greater than 6 right parenthesis equalsnothing (Round to four...

Subjects