Question

Applying all the code on your selected dataset, complete all codes from Chapter Bivariate Graphs. Make sure you submit to this link two things

1. Your report file showing screenshots of all commands from Rstudio GUI

Answer 1

This college-level Computers and Technology question requires using R to perform bivariate graphical analyses, calculate a regression line, determine the correlation coefficient, and compute average CPI for a given year.

Step-by-step explanation:

The question requires the completion of various coding tasks related to bivariate graphs using the R programming language. The steps typically involve creating a scatter plot, calculating the least-squares regression line, and analyzing the correlation coefficient to assess the significance of the relationship between two variables within a dataset. Additionally, the assignment may require calculating statistical figures like the average Consumer Price Index (CPI) for a specific year, such as 1990.

1. Scatter plot: Visual representation of the relationship between two numerical variables, requiring a graphical output from R.
2. Least-squares line: Computation of the best fit line for the given data, resulting in an equation of the form ý = a + bx.
3. Correlation coefficient: A statistical measure of the strength and direction of the relationship between two variables, which also involves significance testing.
4. Average CPI calculation: An example of descriptive statistics where the average value of the CPI for a specific year like 1990 is computed.