Hi can you fill this chart out using the following data set do not fill out questions that are not applicable (which you don't have info on)omly Fill questions that you have information on

Linear Correlation and Re ression -E uit uestion Write down your equity question. This question is your hypothesis when you reword it into an IFITHEN statement. Ex. 1: If there is less engagement in online learning for Black students then academic achievement will decrease compared to all learners in the GTA. Ex. 2: If the amount of mental health services decrease for lndigeneous youth then suicide rates will increase above Canada's average. Equity question: Hypothesis: What are the two variables in your hypothesis? List your variables here: List which variable is your independent variable and which variable is your dependent variable. Independent Dependent Hypothesis: What type of correlation do you think exists between the two variables? Highlight one of the options below and explain your choice. Strong positive linear correlation Strong negative linear correlation Moderate positive linear correlation Moderate negative linear correlation Weak positive linear correlation Weak negative linear correlation Non-linear correlation No correlation Explanation: Gathering Data 1) Primary data: Create a 3 question survey connected to your question. Share your link. Links to Resources: 2) Secondary data: Find one secondary data source from reputable sites such as Stats Canada or gapmindemrg. You may use the same source from performance task #1. Links to Resources: 3) Create a scatter plot comparing your two variables. Be sure that you have included appropriate labels and a title on your graph. Include a screenshot of your scatterplot below. Determine the equation of the line of best fit. - Determine the value of the correlation coefficient, r. This value is a quantitative measure of the strength of a linear correlation. Be sure to take the square root of th0 find r. 1": Using the following scale, classify the type of linear correlation. Correlation Coefficient 7" Time Of Correlation 2 . . . . ?