A sample of 7 department store sizes (in thousands of square feet) and revenues (in millions of dollars) are found to have a linear coefficient of 0.445. Find the critical values for the linear correlation coefficient, assuming a 0.05 significance level. Is there sufficient evidence to conclude that there is a linear correlation between size and revenue of department stores?

Step-by-step explanation:

The test statistic is:

t = r √((n − 2) / (1 − r²))

Given r = 0.445 and n = 7:

t = 0.445 √((7 − 2) / (1 − 0.445²))

t = 1.111

Using a t table, the critical value for 0.05 significant level and 6 degrees of freedom is 1.943.

Since t < 1.943, there is no linear correlation.

last option

step-by-step explanation:

given that δdef is right and isoceles,

assuming that side df is the hypotenuse means that de an ef are the other 2 sides that intersect at 90° and are of equal length.

because they are of equal length, we can say that they are congruent

because they intersect at 90°, their slopes must be opposite reciprocals.

only the last option satisfies these conditions.