A student assessing the correlatio between the average number of hourz of internet browsing

There is a direct relationship between the average number of hours and internet browsing.

Step-by-step explanation:

If student consume more time for browsing then average nuber of hours will also be increased. So it has a positive relationship between these two variables.

Let call X = number of Hours

            Y = internet browsing

thus mathematically

r = nΣXY -ΣXΣY/ {[nΣX^2 - (ΣX)^2] [nΣY^2 - (ΣY)^2] }^1/2

55.44 inches

step-by-step explanation:

part a. assuming a perfectly linear relationship, we can find the slope from the first two data points.

slope = m = (change in rainfall)/(change in years)

= (61.80 -62.33)/(2005 -2004) = -0.53/1 = -0.53

then the point-slope form of the equation of the line can be written as

y = m(x -h) +k . . . . . m = -0.53, (h, k) = (0, 62.33)

y = -0.53x +62.33 . . . x = years after 2004

part b. in 2017, x = 2017 -2004 = 13. then the predicted rainfall is

y = -0.53·13 +62.33 = 55.44 . . inches

the predicted rainfall in 2017 is 55.44 in.

its kinda hard to answer this when we dont have all the information that we need.