100 PTS AND BRAINLIEST ( FAST ) The scatter plot shows the number of pumpkins that have been picked on the farm during the month of October: (posted below)

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)

Answer/Step-by-step explanation: A. If a scatter plot shows an upward trend, it means there is a positive correlation between the x and y variables. That is, as one variable increases, the other also increases. The value of correlation coefficient, r, would be a positive value. Also, when the data points plotted are fairly far apart or moderately spread out along the line if best fit, the value of the correlation coefficient would be far from -1 but also far from 1. Therefore, if a computer software gives us a correlation coefficient of, r = 0.51, it is most likely an accurate value for the given data because it shows a positive correlation with data points moderately spread out and farther apart along the line of best fit. B. A scenario that can be written as a casual relationship for pumpkins picked can be: Number of pumpkins picked versus the amount of nutrient given per kg of fertilizer applied.  

Step-b-step explanation: