A restaurant manager collected data to predict monthly sales for the restaurant from monthly advertising expenses. The model created from the data showed that 36 percent of the variation in monthly sales could be explained by monthly advertising expenses. What was the value of the correlation coefficient? *

The value of the correlation Coefficient which measures the strength of relationship between two variables is 0.6

Hence, the correlation Coefficient, R is 0.6

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The correlation coefficient is 0.60.

Step-by-step explanation:

R-squared is a statistical quantity that measures, just how near the values are to the fitted regression line. It is also known as the coefficient-of-determination.

The coefficient of determination R² specifies the percentage of the variance in the dependent variable (Y) that is forecasted or explained by linear regression and the forecaster variable (X, also recognized as the independent-variable).

The coefficient of determination R² can be computed by the formula,

The coefficient of determination is the square of the correlation coefficient.

The restaurant manager wanted to estimate the monthly sales for the restaurant from monthly advertising expenses.

Here,

Y = monthly sales for the restaurant

X = monthly advertising expenses

It is provided that, 36% of the variation in monthly sales could be explained by monthly advertising expenses.

That is, the value of R² is 0.36.

Compute the correlation coefficient value between X and Y as follows:

Now the values of monthly sales and monthly advertising expenses can never be negative.

So, the correlation between the two variables can never be negative either.

Thus, the correlation coefficient is 0.60.

the equation cos(35) =a/25 can be used to find the length of bc what is the length of bc? round to the nearest tenth

step-by-step explanation:

the surface area is 124cm²

step-by-step explanation:

length: 4cm

width: 9cm

height:   2cm