B0blikezcheezidn
Answered

Get the information you need with the help of IDNLearn.com's extensive Q&A platform. Join our community to receive timely and reliable responses to your questions from knowledgeable professionals.

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)

Sagot :

Akposevictoridn

Part A: The correlation coefficient of r = 0.51 is accurate based on the scatter plot given.

Part B: A scenario that would be a causal relationship can be quantity of fertilizer used vs kg of pumpkins picked on the farm.

What is a Scatter Plot?

The association between two variables that are correlated can be shown by a scatter plot which has a trendline along which the data points are located.

If the trendline slopes upwards from the left to the right, it shows a positive correlation and vice versa.

Also, if the farther the data points are to each other along the trendline, the farther is it the correlation coefficient, r, is from 1 or -1. If they are moderately apart,, the correlation coefficient would be somewhere around 0.5/-0.5 and 0.65/-0.65, as the case may be.

Part A:

The correlation coefficient of r = 0.51 is accurate based on the scatter plot given.

Part B:

A scenario that would be a causal relationship can be quantity of fertilizer used vs kg of pumpkins picked on the farm.

Learn more about scatter plot on:

https://brainly.com/question/6592115

View image Akposevictor
Thank you for being part of this discussion. Keep exploring, asking questions, and sharing your insights with the community. Together, we can find the best solutions. Discover the answers you need at IDNLearn.com. Thank you for visiting, and we hope to see you again for more solutions.