The scatter plot shows the number of oranges picked, in hundreds, in relation to the number of lemons harvested, in hundreds, by several farmers. The scatter plot shows the number of oranges picked, in hundreds, in relation to the number of lemons harvested, in hundreds, by several farmers.

Complete Question:

The scatter plot shows the number of oranges picked, in hundreds, in relation to the number of lemons harvested, in hundreds, by several farmers. According to the plot, which value is the best estimate of the correlation coefficient of the data?

A.-0.2

B. -0.9

C. 0.9

D. 0.2

*See attachment for the scatter plot

C. 0.9

Step-by-step explanation:

If we take a good look at the scatter plot in the attachment showing numbers if oranges picked in relation to number of lemons harvested, we can infer that there's a strong positive correlation between both variables.

Thus, both variables are moving in the same direction. As one variable increases, the other variable increases. Also, the data points represented on the plot seem clustered close to the line rather than farther away.

This will suggest a positive correlation coefficient that is closer to 1.

From the options given above, the best estimate of the correlation coefficient would be 0.9.

The answer is C. 0.9

d. millimeters per hour.

step-by-step explanation:

we are given that,

carlo used a rain gauge to measure the amount of water his lawn is receiving from the sprinklers.

since, according to the options, we see that,

water cannot be measured by 'miles per hour', 'meters per second' and 'grams per seconds'.

we get that, the water can be measured by 'millimeters per hour'.

hence, the appropriate rate for describing the amount of water is 'millimeters per hour'.

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