The scatter plot shows the number of flowers that have bloomed in the garden during the month of March: 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 Flowers and the x axis is labeled Days in 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)

here is your answer!

Step-by-step explanation:

A. From the scatter plot attached below showing the number of flowers that have bloomed for days in the month of March, we can observe an upward trend which shows a positive correlation , and also, if we are to draw a single line in an attempt to connect the points together on a straight line as much as possible, we'd discover that the points are not far away from the single line. This implies not only a positive correlation coefficient, but also a correlation coefficient that is closer to 1. Hence, we can infer that correlation coefficient of r = 0.98 is accurate because of the aforementioned reasons. The trend denotes a string positive correlation.

B. A scenario that would be a causal relationship for flowers in a garden to bloom is the length of daylight received each day by the flowers. Length of daylight could be a factor influencing flower bloom. Or we can also make a scenario of comparing amount of fertilizer for flower development given to plants in comparison to the number of flowers.

easy its decreasing

step-by-step explanation:

because its top point is at the to of the graph on the left side (atleast from the veiw i see it) now if that top point wast in the lower part of the graph it would be increasing hope this have a nice day