PROF COURSE EVAL PROF EVAL PROF GENDER PROF AGE SIZE PROF BEAUTY PROF PHOTO CLASS LEVEL 4.3 4.7 female 36 24 5.000 color upper 4.5 4.6 male 59 17 3.000 color upper 3.7 41 male 51 55 3.333 color upper 4.3 4.5 female 40 40 3.167 color upper 4.4 48 female 31 42 7.333 color upper 4.2 4.4 male 62 182 5.500 color upper 4.0 4.4 female 33 33 4.167 colo ppe 3.4 3.4 emale 51 25 4.000 color upper 4.7 4.8 female 33 29 4.667 olo upper 3. 4.0 male 47 16 5.500 color upper 3.1 3.6 male 35 18 4.833 color upper 4.0 4.1 male 37 30 4.333 color upper 4.1 male 42 28 4.833 Color upper 3.5 male 49 30 4.000 color upper 2.9 female 37 23 5.500 color upper 4.6 male 45 23 4.167 color upper 4.0 4.4 female 56 27 2.500 color upper 3.8 4.0 male 48 100 4.333 color lower 4.3 female 46 25 4.333 black&white upper 3.5 emale 57 17 4.333 color upper 3.7 female 52 19 4.833 color upper 3.4 female 29 19 2.833 color upper 4.3 4.3 male 62 30 3.000 color upper 4.4 4.5 male 64 15 4.167 color upper 4.1 4.3 male 64 21 4.167 color upper 4. 4.8 female 34 20 7.833 color upper 4.2 4.4 male 58 84 3.833 color upper 4.0 4.4 male 52 13 4.833 color upper 3.6 male 73 12 3.000 color upper 4.6 male 70 47 3.000 :olo upper 2.3 2.3 female 41 10 5.167 color upper 4.3 male 63 28 4.333 colo upper 4.9 male 47 10 2.667 color upper 3.9 4.2 male 39 86 5.500 color lower 4.0 4.2 female 47 21 4.333 color lower 4.3 4.3 male 54 15 2.333 Color upper 3.8 3.9 female 44 30 6.500 color upper 3.9 male 47 20 2.333 color upper 4.1 male 62 12 3.000 color upper 4.6 4.8 male 60 25 3.667 color upper 3.5 3.3 male 37 15 6.167 color upper 4.7 4.4 male 42 13 4.000 Color upper 3.4 3.3 female 39 22 8.167 color lower 4.0 male 49 28 6.500 color upper 4.5 4.5 male 61 22 4.833 color lower 4.7 4.9 male 33 30 7.000 color upper 3.7 female 58 26 4.667 black&white upper 3.9 female 56 12 3.833 color upper 4.0 4.4 female 50 22 3.167 color lower 4.1 4.4 male 52 57 3.167 color upper 4.4 4.5 female 33 10 5.833 black&white upper 4.2 4.3 male 57 69 5.667 black&white upper 4.5 4.8 female 38 46 6.500 black&white uppe 3.8 4.1 emale 34 54 1.667 color lower 3.5 male 34 24 6.667 color ppe 4.0 male 85 3.667 black&white lower 3.9 3.8 female 42 44 6.167 color lower 4. 4.1 female 43 35 3.333 colo ower 3.7 male 35 11 3.667 black&white upper 3.2 female 62 22 3.500 color upper 4.2 male 42 45 2.667 color upper 4.5 male 39 22 5.667 color upper 3.8 emale 52 64 6.000 black&white upper 3.7 emale 52 31 6.500 black&white upper 4.3 4.5 female 52 59 2.333 color upper 3.7 3.8 male 64 9 2.333 color upper 4.2 4.5 male 50 15 7.167 color upper 2.2 2.4 male 60 23 1.667 Color upper 3.0 3.0 female 51 47 5.167 color upper 4.3 4.5 male 43 19 3.500 color lower 3.5 3.5 male 52 46 5.833 color upper 4.6 4.8 male 51 348 6.167 color lower 3.7 4.2 male 38 44 3.333 color lower 4.0 female 47 19 5.167 color ower 3.7 female 43 47 4.167 color ower 4.5 female 38 33 2.500 color lower 4.7 male 43 10 4.333 color lower 4.3 4.3 male 57 7 3.000 colo upper 4.0 4.0 female 51 9 6.333 color upper 4.8 4.9 male 45 13 3.333 color lower 3.5 3.5 male 57 13 2.833 black&white lower 3.3 female 47 16 6.667 black&white lower 3.8 4.2 emale 54 18 6.833 black&white lower 4.7 4.8 male 58 16 7.833 black&white owe 4.9 4.9 male 42 15 7.833 black&white lower 4.5 male 33 85 5.833 color lower 3.3 male 11 2.000 color lower 3.3 female 60 7.833 color ower 3.6 male 61 27 3.333 color lower 4.0 4.1 female 61 4.500 color lower 3.7 female 23 4.333 black&white upper 4.5 male 98 6.833 color lower 35 female 48 5.333 color upperCourse Evaluationsxlsx Column 2 denotes the mean course rating, and Column 3 denotes the mean professor rating. Using your preferred technology format (StatCrunch, Statdisk, Excel), generate a scatterplot for these two variables where the X-variable is the course rating and the y- variable is the professor rating. Based on the graph, do you believe the two variables are correlated? Why or why not? Using the same technology program, complete a hypothesis test to test the claim that the course rating and the professor rating are correlated. You should include: 0 the null and alternative hypotheses (in English and in symbolic form) 0 your signicance level 0 the r-value and p-value (calculated from technology) 0 your decision (meaning, whether you Reject or Fail- to-Reject the null hypothesis) 0 your conclusion in non-technical terms What does this suggest about the relationship between course ratings and professor ratings, and how does this result compare with your personal experience? Provide a printout of your technology output inside the body of our post (no attachments!)