A scatterplot shows a strong, positive, linear relationship between the number of rebounds a basketball team averages and the nu
mber of wins that team records in a season. Which conclusion is most appropriate? (A) A team that increases its number of rebounds causes its chances of winning more games to increase.
(B) If the residual plot shows no pattern, then it is safe to conclude that getting more rebounds causes more wins, on average.
(C) If the residual plot shows no pattern, then it is safe to conclude that getting more wins causes more rebounds, on average.
(D) If the r^2 value is close enough to 100%, then it is safe to conclude that getting more rebounds causes more wins, on average.
(E) Rebounds and wins are positively correlated, but we cannot conclude that getting more rebounds causes more wins, on average.
Rebounds and wins are positively correlated, but we cannot conclude that getting more rebounds causes more wins, on average.
Because if a scatterplot shows a strong, positive, linear relationship between two variables, then the two variables are positively correlated but there is no causation between them.
Surface area of a square pyramid is the area of the base + 4 times the area of one of the slanted sides.
Area of base = side length * side length
Area of side = (1/2) * side length * slant height
Don't forget that you have to multiply the area of the side by 4!
Step 1: 12 x 12 = 144 Step 2: 12 x 20 = 240 divided by 2 = 120 Step 3: 144 + 120 x 4
