Donald was trying to figure out why certain basketball players got more rebounds in a basketball game. He decided to model the number of rebounds with the heights of the players. The correlation coefficient is calculated to be r=0.91.
What conclusion can Donald make about the strength of a relationship?
It completely explains why some players get more rebounds than others.
That height has a lot to do with how many rebounds a person gets.
That height doesn't explain very well which players get more rebounds.
This coefficient does not give us any information about the strength of the relationship.

3.4 pizzas

step-by-step explanation:

given is a scatter plot showing number of pizzas sold during weeks for different issues of coupon

y represents number of pizzas sold and x number of coupons issued

y is marked verticaly and x horizontally

the trend line is given as

y =3.4x+43

this says that even when no coupon is issued pizzas sold will be 43

and rate of change of pizza sold for 1 unit of coupon = slope = 3.4

i.e. when x increases by 1 unit y increases by 3.4 units

hence for each additional coupon issued 3.4 pizzas more will be sold

7

step-by-step explanation:

y=mx+

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step-by-step explanation: