Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

1. Let x be the average number of employees in a group health insurance plan, an

ID: 3235401 • Letter: 1

Question

1. Let x be the average number of employees in a group health insurance plan, ans let y be the average administrative cost as a percentage of claims. Suppose a random sample of employees gave the following information. Given the scatter diagram and "best fit" line for the data below, would you say the correlation is low, moderate, or strong? Positive or negative?

2. Can a low barometer reading be used to predict maximum wind speed of an approaching tropical cyclone? Let x be the lowest pressure ( in millibars) as a cyclone approaches, and let y be the maximum wind speed ( in miles per hour) of the cyclone. Suppose a random sample of cyclones gave the following information . Given the scatter diagram and "best fit" line for the data below would you say the correlation is low, moderate, or strong? Positive or negative?


uestion 14 insurance plan, and let y be the average as a percentag average number of employees in a group health is low, moderate, or suong? PD information. Given the scatter diagram and best fit line for the data below, would you say the correlation A low and positive B. strong and negative C-strong and positive D. low and negative E. moderate and negative

Explanation / Answer

Solution 1:

Form the graph we can see that if one factor is increasing than other factor is decreasing and vice versa. So it has a negative relationship with each other.

And there is very high relationship with each other means if one factor is increased or decreased by 1 than other factor will also decrease or increase by 1 unit.

So its answer is strong and negative I.e. B.

Solution 2:

From the second graph we can see that relationship b/w both variables are negatively relationship with each other.

It has moderate relationship with each other also

So its answer is Moderate and negative.