3. When car crash tests were conducted, data were collected that consist of crash test loads (pounds) on the left femur and right femur. When those loads are partitioned into the three car size categories of small, midsize, and large, the two-way analysis of results from XLSTAT are as shown below. (The row factor of femur has the two values of left femur and right femur, and the column factor of size has the three values of small, midsize, and large.) Use a 0.05 significance level to apply the methods of two-way analysis of variance (2 way ANOVA test) in R-studio. Present the related hypotheses of interest. What do you conclude?
3. When car crash tests were conducted, data were collected that consist of crash test loads (pounds) on the left femur and right femur. When those loads are partitioned into the three car size categories of small, midsize, and large, the two-way analysis of results from XLSTAT are as shown below. (The row factor of femur has the two values of left femur and right femur, and the column factor of size has the three values of small, midsize, and large.) Use a 0.05 significance level to apply the methods of two-way analysis of variance (2 way ANOVA test) in R-studio. Present the related hypotheses of interest. What do you conclude?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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3. When car crash tests were conducted, data were collected that consist of crash test loads (pounds) on the left femur and right femur. When those loads are partitioned into the three car size categories of small, midsize, and large, the two-way analysis of results from XLSTAT are as shown below. (The row factor of femur has the two values of left femur and right femur, and the column factor of size has the three values of small, midsize, and large.) Use a 0.05 significance level to apply the methods of two-way analysis of variance (2 way ANOVA test) in R-studio. Present the related hypotheses of interest. What do you conclude?
![DF Sum of squares
166068.5952
1
2 532911.8571
Femur X Size 2 410435.7619
Source
Femur
Size
Mean squares
F
166068.5952 1.3896
266455.9286
205217.8810
Pr> F
0.2462
2.2296 0.1222
1.7171 0.1940](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa01bd448-144d-4db2-affa-97c00487c9fd%2Ffa986753-a466-451b-ba15-eed70714b63a%2Fj6nwrzk_processed.png&w=3840&q=75)
Transcribed Image Text:DF Sum of squares
166068.5952
1
2 532911.8571
Femur X Size 2 410435.7619
Source
Femur
Size
Mean squares
F
166068.5952 1.3896
266455.9286
205217.8810
Pr> F
0.2462
2.2296 0.1222
1.7171 0.1940
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