Which of the following correlation coefficients indicates the strongest relationship between two variables. If the correlation between height and weight of a large group of people is 069 find the coefficient of determination as a percent and explain what it means.
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The correlation between people s height and weight is quizlet. Consequently if we observe an individual who is unusually tall we can predict that his weight is also above the average. What proportion or percent of the variability in weight can be explained by the relationship with height hint. The relationship between height weight and feet length of the human body article pdf available january 2009 with 4388 reads how we measure reads. Does not account for ones body frame size or muscle content. Having found that the time children spend watching tv correlates with their weight a researcher wanted to test the hypothesis that this effect is due to activity level less active children watched more tv and also. What is a value of the coefficient of determination for this r.
In other words a 10 increase in height is tied to a 31 increase in weight. The correlation between peoples height and weight is. For example height and weight are correlatedas height increases weight also tends to increase. Assume that height is the predictor and weight is the response and assume that the association between height and weight is linear. Suppose the correlation between height and weight for adults is r 060. Usually the shorter someone is the heavier they are.
Uses statistical data of weight and height across the population b. Usually the taller someone is the thinner they are. Relies on a correlation between weight and body fat d. In general weight increases as the cube of the increase in height. Height and weight or positively correlated this means that as height and weight increases increases which of the following correlation coefficients indicates the strongest relationship between two variables. Measures the percentage of ones body fat directly c.
A researcher selects a sample of 1000 people to investigate the relationship between. Theres a strong correlation between height and weight. As height increases typically weight increases. There is no relationship between height and weight. The pearson correlation coefficient is used to measure the strength of a linear association between two variables where the value r 1 means a perfect positive correlation and the value r 1 means a perfect negataive correlation. The correlation between self esteem and shyness is.
So for example you could use this test to find out whether peoples height and weight are correlated they will be. Pearson correlation coefficient calculator.
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