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
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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
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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