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Sergio [31]
3 years ago
5

Compute the coefficient of determination. Round your answer to four decimal places. A regression equation is obtained for a set

of data points. It is found that the total sum of square is 103.5, the regression sum of squares is 89.8, and the error sum of squares is 13.7.
a. 0.1324
b. 0.1526
c. 0.8676
d. 1.1526
Mathematics
1 answer:
Damm [24]3 years ago
7 0

Answer:

0.8676

Step-by-step explanation:

Given that :

Total Sum of Square (SST) = 103.5

Regression Sum of Square (SSR) = 89.8

Erroe Sum of Square (SSE) = 13.7

The Coefficient of determination (R²) :

R² = SSR / SST

R² = 89.8 / 103.5

R² = 0.8676328

R² = 0.8676

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My name is Ann [436]

Answer:

17 miles.

Step-by-step explanation:

Let's define:

North as the positive y-axis

East as the positive x-axis.

We know that Laura lives 15 miles east of Kevin's place.

Kevin lives 8 miles south of Michelle's place.

So, if we define the origin, (0, 0) as Laura's place.

From:

"that Laura lives 15 miles east of Kevin's place."

We have that the location of Kevin's house is 15 miles west from Laura's place, then Kevin's house is at:

(0, 0) + (-15mi, 0) = (-15mi, 0)

From Kevin lives 8 miles south of Michelle's place, we know that Michelle's live 8 miles north of Kevin's place.

Then the location of Michele's house is the location of Kevin's plus (0, 8mi).

Michelle's house is located at:

(-15mi, 0) + (0, 8mi)  =(-15mi, 8mi)

Now we want to find the distance between Michelle's house and Laura's house.

Michelle's house is at (-15mi, 8mi)

Laura's house is at (0mi, 0mi)

Remember that the distance between two points (a, b) and (c, d) is given by:

D = \sqrt{(a - c)^2 + (b - d)^2}

Then the distance between  (-15mi, 8mi) and (0mi, 0mi) is:

D = \sqrt{(-15mi - 0mi)^2 + (8mi - 0mi)^2} = 17mi

The correct option is the first one, 17 miles.

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irina [24]

Answer:

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Step-by-step explanation:

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Answer:

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Step-by-step explanation:

First, let's find the slope of the line, so we can eliminate some answers.

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This eliminates C and D.

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