You use a line best fit for a set of data to make a prediction about an unknown value. The correlation coefficient for your data set is -0.833 . How confident can you be that your predicted value will be reasonably close to the actual value?

This question is based on the concept of  correlation coefficient. Therefore, it is observe that, the correlation coefficient is most negative that means predicted value will be reasonably most likely close to the actual value.

Given:

The correlation coefficient for your data set is -0.833 .

We would be predicted that given value will be reasonably close to the actual value.

By using the definition of correlation coefficient.

It is given that, the correlation coefficient for your data set is -0.833.

Hence, it is observe that, the correlation coefficient is most negative that means predicted value will be reasonably most likely close to the actual value.

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You can be reasonably and mostly towards the strong side of that it is close.

The correlation coefficient is a strong negative correlation, meaning it is most likely close.

Step-by-step explanation:

if the pizza is divided equally into 2 equal halves then you would get

πr^2/2

where r is the radius of the pizza.

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let x be the money she spent so that she can earn the free t-shirt.

since, she already spent $112.49

⇒

also, as per the statement: jennifer must spend $250 or more in order to qualify for a free t-shirt at the store.

then,

we have an inequality i.,e

subtract 112.49 from both sides we get;

therefore, $137. 51 more money does jennifer need to spend so that she can earn the free t-shirt