1- Use R to compute the correlation between social media usage and predicted grade. Is there a significant linear relationship between a student's time on social media and their predicted grade in the STAT 1124? Use the decision point method to answer this question. Assume all assumptions of the test are satisfied (even if they are not). Be sure to state (1) the null and alternative hypotheses, (2) the value of the decision point, (3) whether you reject the null, and (4) give a conclusion about significance. Hypotheses and conclusions must state the population and variables of interest for full marks

2- Use R to create a scatterplot with social media usage on the x-axis and predicted grade on the y-axis. Copy and paste the plot directly into your assignment. Describe the relationship (including the direction, form, and strength) between the two variables.

3- First, we must filter the data to the respondents we are interested in (Spring 2022). We will exclude respondents who did not provide a value for predicted grade or social media usage. We will also exclude respondents whose value for social media per day is larger than 24 hours. Open "a3_helper_code.R" and read the data file "get_to_know_you_survey.csv" (line 27). Next, run the lines of code that filter the data as described above to make the new data frame called "part_a" (lines 44 - 47). How many rows are left in the part_a data frame? (The expected answer to this question is a single number) Use the part_a dataset for the rest of the questions in PART A.