The scatter plot shows the number of flowers that have bloomed in the garden during the month of March:
Part A: Using computer software, a correlation coefficient of r = 0.98 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 flowers and the day in March, write a scenario that would be a causal relationship for flowers in a garden. (5 points)

Answer/Explanation:

A. Fom the dattached diagram below showing the number of flowers that have bloomed in the garden in the month of March, we can infer that the trend shows a strong positive correlation. If we attempt to draw a straight line to connect some of the points on the plot, we would realized that we're going to be having a line that slopes upward, and also points are either on the line or are at least not far from the line drawn. Having a correlation coefficient or r = 0.98, we can assume that value to be accurate because the trend shows a positive correlation that is closer to a correlation coefficient of 1.

B. A scenario that would show a casual relationship for flowers in the garden is the comparison of the numbers of flowers in the garden and the quantity, in kg of a nutrient-rich fertilizer.

step-by-step explanation:

5×5×5+2(8)÷2(2)+3(3)

15+16÷4+9

31÷13

do 31÷13 and u will get ur answer

an

y = 6x -3y -12

y +3y +12 = 6x

=> . x = { 2y / 3 +2 } this is equation of line in terms of x

=> . if line meets the x-axis the co-ordinates of meeting point would be ( x , 0 )

=> . x = 2 ( 0 ) / 3 + 2

=> . x = 2

so, the point is ( 2 , 0 )