https://www.statcrunch.com/app/index.html? dataid=4220828 &token=OT1328%%2FONGhSC1KVw9hTXmyjHLouZvqCMyuxkgn 1QRYPhIQfDVLUFCIF3Y41504C:2BMKL5%2FHgpBTXKukjWOPGD4pN %2FCkiobeyKouljPB/KQwNxke: YDPAIVPBMmzSRmXpMh1Q3LVJ.2F1YZJ %2F70wh7LSkmbigkbrXIDOrrJ13uZ2V1I1Q9TRS0iyY9bKjapns0ZzPBzLUvxuCe 6150UDcXw%30 %% 3D 2) Pick 2 quantitative variables from the dataset you choose y will be the variable you are trying to predict as a linear function of x - What two variables did you pick? Which one was x and which one was y? - What type of linear relationship do you believe exists between x and y? Positive: As x gets larger, y tends to get larger Negative: As x gets larger, y tends to get smaller 3) Do a scatter plot of y versus x and insert this scatter plot into your Word document (overlay the best fitting line). Does the scatter plot seem to support the nature of the relationship between x and y that you thought from part 2? On the basis of the line that was overlaid on the scatter plot, how strong does the relationship seem to be between x and y? Overlay your best fitting line on the scatter plot (you will can get the slope and y-intercept from step 4)- - Select the Graph menu item (across the top) and select Scatter Plot. - Specify the x and y variables (under X Variable and Y Variable respectively) Under Overlay Polynomial order, specify 1 and select Best Fit - Compute - Put into your Word Document Select Options above your Scatter Plot (top left) in StatCrunch and Copy Right click the image and Select Copy Image Go into Word. At the location, you want your scatter plot, Select Cri Alt V; then Bitmap 4) Conduct a hypothesis test on H - slope = 0; Ha: slope positive or negative (your hypothesis from part 2). Using a = 0.05, is there a significant linear relationship between x and y (paste your output to support your answer)? What is the linear