[Top Answer] MATH225N – Week 8 Assignment Coefficient of Determination

Description

Week 8: Regression

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Week 8 Assignment – Coefficient of Determination

Activity 1

Question

A scientific study on construction delays gives the following data table.

Using technology, it was determined that the total sum of squares (SST) was 2542.8, the sum of squares regression (SSR) was 2194.8, and the sum of squares due to error (SSE) was 347.99. Calculate R2 and determine its meaning. Round your answer to four decimal places.

Select the correct answer below:

• R2=0.8631 – Therefore, 86.31% of the variation in the observed y-values can be explained by the estimated regression equation.
• R2=1.1586 – Therefore, 1.1586% of the variation in the observed y-values can be explained by the estimated regression equation.
• R2=0.1369 – Therefore, 13.69% of the variation in the observed y-values can be explained by the estimated regression equation.
• R2=0.1586 – Therefore, 15.86% of the variation in the observed y-values can be explained by the estimated regression equation.

Answer

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Activity 2

Question

A medical experiment on tumor growth gives the following data table.

The least squares regression line was found. Using technology, it was determined that the total sum of squares (SST) was 3922.8 and the sum of squares of regression (SSR) was 3789.0. Calculate R2, rounded to three decimal places.

Provide your answer below:

Answer

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Activity 3

Question

A scientific study on mesothelioma caused by asbestos gives the following data table.

Using technology, it was determined that the total sum of squares (SST) was 1421.2 and the sum of squares due to error (SSE) was 903.51. Calculate R2 and determine its meaning. Round your answer to four decimal places.

Select the correct answer below:

• R2=0.3643 – Therefore, 36.43% of the variation in the observed y-values can be explained by the estimated regression equation.
• R2=0.3643 – Therefore, 0.3643% of the variation in the observed y-values can be explained by the estimated regression equation.
• R2=0.6357 – Therefore, 63.57% of the variation in the observed y-values can be explained by the estimated regression equation.
• R2=0.6357 – Therefore, 0.6357% of the variation in observed y-values can be explained by the estimated regression equation.

Answer

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Activity 4

Question

A scientific study on speed limits gives the following data table.

Using technology, it was determined that the total sum of squares (SST) was 4029.2, the sum of squares regression (SSR) was 3968.4, and the sum of squares due to error (SSE) was 60.835. Calculate R2 and determine its meaning. Round your answer to four decimal places

Select the correct answer below:

• R2=0.0153 – Therefore, 1.53% of the variation in the observed y-values can be explained by the estimated regression equation.
• R2=0.9849 – Therefore, 98.49% of the variation in the observed y-values can be explained by the estimated regression equation.
• R2=0.0151 – Therefore, 1.51% of the variation in the observed y-values can be explained by the estimated regression equation.
• R2=1.0153 – Therefore, 10.153% of the variation in the observed y-values can be explained by the estimated regression equation.

Answer

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Activity 5

Question

A new mine opened and the number of dump truck loads of material removed was recorded. The table below shows the number of dump truck loads of material removed and the number of days since the mine opened.

A least squares regression line was found. Using technology, it was determined that the total sum of squares (SST) was 278.0 and the sum of squares of regression (SSR) was 274.3. Use these values to calculate the coefficient of determination. Round your answer to three decimal places

Select the correct answer below:

• 987
• 013
• 993

Answer

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Activity 6

Question

A new mine opened and the number of dump truck loads of material removed was recorded. The table below shows the number of dump truck loads of material removed and the number of days since the mine opened.

A least squares regression line was found. Using technology, it was determined that the total sum of squares (SST) was 2349 and the sum of squares of error (SSE) was 329. Use these values to calculate the coefficient of determination. Round your answer to three decimal places

Select the correct answer below:

• 860
• 140
• 000

Answer

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