Pls actually answer
part a: using computer software, a correlation coefficient of r = 0.51 was calculated. based on the scatter plot, is that an accurate value for this data? why or why not? (5 points)

part b: instead of comparing the number of pumpkins picked and the day in october, write a scenario that would be a causal relationship for pumpkins picked on the farm. (5 points)

R value of 0.51 is an accurate value for the data as the data does not follow a linear approximation to a large extent especially when days are less than 10 in october.

A causal relationship is the scenario where one event causes another event hence in this case, we can compare the number of pumpkins picked (y-axis) against the number of ripened pumpkins (x-axis). This is not a unique answer and there are many other possibilities but this is just one example (possibly not the best too)

answer: - (a)

(b) 88 seats

step-by-step explanation:

given: in an auditorium, there are 22 seats in the first row and 28 seats in the second row.

thus first term=

second term=

the number of seats in a row continues to increase by 6 with each additional row.

⇒d= 6

a) given formula :

b)   let the number of seats (n) = 12

substitute n=12 in the explicit rule formed in (a)

∴there are 88 seats in 12 rows.