Please solve below in R Code data <- data.frame( Part = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10), Operator = c(rep(1,20), rep(2, 20)), Repetition = rep(c(rep(1, 10), rep(2, 10)), 2), Value = c(488.418, 484.798, 489.445, 485.758, 489.043, 484.415, 483.426, 483.939, 491.625, 486.168, 487.071, 485.125, 489.529, 486.635, 488.774, 484.624, 482.565, 484.589, 491.752, 486.466, 489.424, 486.353, 490.768, 485.437, 489.762, 485.3, 483.869, 485.025, 492.408, 488.344, 488.896, 485.25, 490.75, 486.666, 489.66, 485.065, 482.968, 484.079, 491.326, 487.663) ) 

Step 2: Perform ANOVA for Gauge R&R

Now, perform a two-way ANOVA with interactions between Part and Operator to evaluate the variation due to parts, operators, and their interaction.

# Convert columns to factors data$Part <- as.factor(data$Part) data$Operator <- as.factor(data$Operator) data$Repetition <- as.factor(data$Repetition) # Run ANOVA anova_result <- aov(Value ~ Part + Operator + Part:Operator, data=data) summary(anova_result) Which of the following is the largest component of variance in the study? Which of the following is the smallest component of variance in the study? Which has a higher percent contribution, Repeatability or Reproducibility?