Hello im really struggling with statistics. pls help me with this practice question.

im so losttt...

thank you so muchh

Is your overall satisfaction with a hotel room correlated with the cost of the room? Suppose that satisfaction scores {in percent] and the median room prices! rates {in Canadian dollars} were recorded for a sample of 12 hotels with the following results: Hotel I Median Rate Score Econo Lodge I 95 30 Holiday Inn | 80 75 Best Western I 110 90 Accent Inn | 100 38 Crossways I 60 60 Comfort Inn | 90 32 Motel 6 | 70 70 Days Inn | 120 93 Travelodge | 150 95 Coast Inn | 100 95 Paradise | 140 90 Twelve Months | 85 35 Let us use the simple linear regression model taking the median rate as I: and the satisfaction score as y. The coefficient of correlation for this data is 1" = 0.3240 and the regression equation is: a} = 50.2712 + 0.33312. For part [a], round to 4 decimal places. {a} Calculate the coefficient of determination 1'2 = I:I For part (b), express your answer in percent form (i.e. 3.00% instead of 0.03} and round to 2 decimal places. {b} What percent of the variation in satisfaction scores cannot be explained by the variation in median rates? % For part (c)l round to 4 decimal places. {c} What is the slope of the regression equation? CI For parts (d), [e] round to 2 decimal places. {d} How much will the score be expected to change if the median rate increases by 525? CI {e} What would be the best predicted satisfaction score for the median rate of $120? :1 {1'} Would it be possible to use this regression model to predict the satisfaction score for a hotel with the median room price of $600? 0 The forecast would be reliable, as the regression equation fl = 50.2712 + 0.33312 can be used to predict any score. 0 The forecast would be reliable, as the median room price of $600 is an outlier. O The forecast would not be reliable, as the median room price of $600 is an outlier. O The forecast would be reliable, as the regression equation I] = 50.2712 + 0.33312: can be used to predict any room price. 0 None of the above