Question

The image below shows the first six rows of a dataframe df which measures how an individual's resiliency influences their happiness. There were 800 subjects in this study. > head(df) Resiliency Happiness 1 21.89207 64.53118 2 12.41626 59.61972 3 16.89669 61.84519 4 16.02073 34.09440 5 18.53150 54.40125 6 13.64535 56.63647 A graph of all data points and the line of best fit through those points is presented below: Some of the code to make this plot is shown below. Which part of the code is missing? ggplot(data2, aes(x = Resiliency, y = Happiness)) + geom_point() + stat_smooth(method = "lm", se = F) + theme_classic() ylab("Happiness") + ggtitle("How Does Resiliency Influence Happiness?") + theme_minimal() + xlab("Resiliency Score") within geom_point: alpha = 0.2 within stat_smooth: color = "red"

          The image below shows the first six rows of a dataframe df which measures how an individual's resiliency influences their happiness. There were 800 subjects in this study.
> head(df)
Resiliency Happiness
1 21.89207 64.53118
2 12.41626 59.61972
3 16.89669 61.84519
4 16.02073 34.09440
5 18.53150 54.40125
6 13.64535 56.63647
A graph of all data points and the line of best fit through those points is presented below:
Some of the code to make this plot is shown below. Which part of the code is missing?
ggplot(data2, aes(x = Resiliency, y = Happiness)) +
geom_point() +
stat_smooth(method = "lm", se = F) +
theme_classic()
ylab("Happiness")
+ ggtitle("How Does Resiliency Influence Happiness?")
+ theme_minimal()
+ xlab("Resiliency Score")
within geom_point: alpha = 0.2
within stat_smooth: color = "red"

The image below shows the first six rows of a dataframe df which measures how an individual's resiliency influences their happiness. There were 800 subjects in this study.
> head(df)
Resiliency Happiness
1 21.89207 64.53118
2 12.41626 59.61972
3 16.89669 61.84519
4 16.02073 34.09440
5 18.53150 54.40125
6 13.64535 56.63647
A graph of all data points and the line of best fit through those points is presented below:
Some of the code to make this plot is shown below. Which part of the code is missing?
ggplot(data2, aes(x = Resiliency, y = Happiness)) +
geompoint() +
statsmooth(method = "lm", se = F) +
themeclassic()
ylab("Happiness")
+ ggtitle("How Does Resiliency Influence Happiness?")
+ thememinimal()
+ xlab("Resiliency Score")
within geompoint: alpha = 0.2
within statsmooth: color = "red"

Added by Jasmine C.

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