A sports statistician was interested in the relationship between game attendance (in thousands) and the number of wins for baseball teams. Information was collected on several teams and was used to obtain the regression
equation ý = 4.9x + 15.2, where x represents attendance (in thousands) and ŷ is the predicted number of wins.
Which statement best describes the meaning of the slope of the regression line?

For each increase in attendance by 1,000, the predicted number of wins increases by 4.9.
For each increase in attendance by 1,000, the predicted number of wins increases by 15.2.
For each increase in the number of wins by 1, the predicted attendance increases by 4,900.
For each increase in the number of wins by 1, the predicted attendance increases by 15,200.

I've been working on this for a few days and i just don't understand, it's due in a few hours. you. the direction of a vector is defined as the angle of the vector in relation to a horizontal line. as a standard, this angle is measured counterclockwise from the positive x-axis. the direction or angle of v in the diagram is α. part a: how can you use trigonometric ratios to calculate the direction α of a general vector v = < x, y> similar to the diagram? part b suppose that vector v lies in quadrant ii, quadrant iii, or quadrant iv. how can you use trigonometric ratios to calculate the direction (i.e., angle) of the vector in each of these quadrants with respect to the positive x-axis? the angle between the vector and the positive x-axis will be greater than 90 degrees in each case. part c now try a numerical problem. what is the direction of the vector w = < -1, 6 > ?