I attempted these on my own but it woud be awesome to have a double check on it!

Question

I attempted these on my own but it woud be awesome to have a double check on it! Thank you :))

à Answer True or False for the following statements. Justify your answer if False. a. If the least-squares equation relating the independent variable x and the dependent variable y 2r+5, then an increase of 1 unit in x is associated with an increase of for a given problem is y 2 units in y The coefficient of determination R2 measures the variation in the dependent variable that is explained by thereg odel If your computed correlation coefficient is r correlation. A student might expect that there is a positive correlation between the age of his or her computer and its resale value. In simple regression analysis, if the slope of the line is positive, then there is a positive correlation between the dependent variable y and the independent variable x. b. +1.2, then you have better than a perfect positive c. d. e. t. The coefficient of determination can assume negative values. & A negative correlation indicates that as values of x are increased, values of y will decrease. h. If there is no correlation between the independent and dependent variables, then the value of the correlation coefficient must be-1 a. tue b Tvue C. False, r must be bttweanand | 0 c True, a reguar ssion lin desanbes how response var. changes nue, a reass False CO as expean rar changes R", no itan not assume dct !") values because it will always be sguane se as vatues of x decrease y uwitt also decrease Thu c h False, it woud be O

Explanation / Answer

The answers that you have give are right and so are the justifications.

g. True. Negative correlation means, if there is increase in value of x, y value will decrease

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