The scatter plot shows the number of pumpkins that have been picked on the farm during the month of october: a scatter plot with points showing an upward trend with points that are moderately spread out from a line of best fit. the y axis is labeled number of pumpkins and the x axis is labeled days in october 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)

part a: i think that this is inaccurate since there is a strong positive correlation, and r = 0.01 would be a very weak correlation, almost none.

part b: i would say that the amount of farmers available compared to strawberries picked would be a causal relationship, since there would be more farmers to pick the strawberries.

step-by-step explanation:

for part a there is too low of a correlation in r = 0.01 to have any sort of correlation. however the graph has a strong correlation.

for part b just put any scenario where the x value would cause the y value (strawberries) to increase. make sure to differ this part from mine so the teacher won’t accuse u of copying!

x =±sqrt(1/3)

step-by-step explanation:

x+4/6x=1/x

multiply each side by 6x to get rid of the fractions

6x*(x+4/6x)=1/x*6x

distribute

6x^2 +4 = 6

subtract 4 from each side

6x^2 +4-4 = 6-4

6x^2 =2

divide by 6

6x^2/6 = 2/6

x^2 = 1/3

take the square root of each side

sqrt(x^2) = ±sqrt(1/3)

x =±sqrt(1/3)

step-by-step explanation:

for the free