ion between two variables is (-1) then the two variables are said to

What does a correlation coefficient of 2​ indicate? There is a weak relationship between the two quantitative variables.  It indicates a calculation​ error, as the correlation coefficient cannot be 2. There is a strong relationship between the two quantitative variables. It indicates a​ non-linear relationship between the two quantitative variables. There is no linear relationship between the two quantitative variables.

☐True ☐False In two correlated variables, if one of them increases when the other decreases that is called an inverse relationship.

For each pair of quantities, decide if the correlation coefficient would be close to 1, close to -1, or not be close to 1 or -1. Part: 0/4 Part 1 of 4 (a) The number of hours a student spends studying and the score on that student's exam. The correlation coefficient would be close to 1 Part: 1/4 Part 2 of 4 Part: 2/4 X (b) The number of hours a student spends studying and the number of letters in that student's name. The correlation coefficient would be close to -1 Part 3 of 4 X Ś X Ś (c) The number of hours an overweight person spends exercising and that person's weight. The correlation coefficient would be close to 1 5

Determine of whether strong correlation exisits as well as whether it is positive or negative

Give an example of two variables that you would expect to have a correlation close to or equal to -1. Give an example of two variables that you would expect to have a correlation close to or equal to 0. Remember that survey question you wrote? Take the class responses to your survey as data related to the one variable of your question. Now, take the list of responses from the survey question that one of your classmates wrote.  Write down both lists of data. (If one sample size happens to be different from the other, cut the larger sample size down to that of the smaller sample size.) Calculate the correlation between the two variables. Describe the linear relationship between these two variables. (data for number 3) How many cars have you had so far in your lifetime? 0,1,1,1,2,2,2,2,3,3,3,3,4,4,5,6,6,7,10.   How many days per week do you exercise? 0,0,0,1,2,3,3,3,3,4,4,4,4,5,5,5,5,6,6,6

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The strength of the correlation is indicated by a number value and the closer that value is to zero, the weaker the correlation. O True O False

Airline fares are increasing as the oil prices are increasing. Is this a positive or negative correlation between the two? Which is the Independent variable? Which is the dependent variable?