B8. A shop owner would like to analyse the relationship between the temperature on any given day (in Celsius) and her revenues for selling lemonade. To this aim, she collected the following data for different days: Temperature, r | 5.2 5.4 8.3 12.1 15.3 18.1 21.2 25.4 28.2 31.7 36.1 79 Revenue (in $), y 78 121 101 141 175 160 174 150 124 94 Propose a linear regression model obtaining the line of regression for revenue given temperature. Given the list of residuals r = -52.4148, r2 = -9.3647, r3 = -28.6375, r4 = 12.3154, rs = 47.1178, re = 32.8199, r7 = 47.5972, rs = 24.6504, r9 = -0.6475, compute the last two residuals, r10 and r11, and plot all the residuals vs r. Do you think this is a good model? Why/why not? Hint: You can use E = 5031.14, Er = 26004.2, y = 190261. %3D

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B8. A shop owner would like to analyse the relationship between the temperature on any
given day (in Celsius) and her revenues for selling lemonade. To this aim, she collected
the following data for different days:
Temperature, r | 5.2 5.4 8.3 12.1 15.3 18.1 21.2 25.4 28.2 31.7 36.1
94
79
Revenue (in $), y 78 121 101
141 175
160
174
150
124
Propose a linear regression model obtaining the line of regression for revenue given
temperature. Given the list of residuals r = -52.4148, r2 = -9.3647, r3 = -28.6375,
TA = 12.3154, r5 = 47.1178, r6 = 32.8199, r7 = 47.5972, rg = 24.6504, rg = -0.6475,
compute the last two residuals, r10 and r1, and plot all the residuals vs r. Do you think
this is a good model? Why/why not?
Hint: You can use E = 5031.14, Eriyi = 26004.2, Ey = 190261.
Transcribed Image Text:B8. A shop owner would like to analyse the relationship between the temperature on any given day (in Celsius) and her revenues for selling lemonade. To this aim, she collected the following data for different days: Temperature, r | 5.2 5.4 8.3 12.1 15.3 18.1 21.2 25.4 28.2 31.7 36.1 94 79 Revenue (in $), y 78 121 101 141 175 160 174 150 124 Propose a linear regression model obtaining the line of regression for revenue given temperature. Given the list of residuals r = -52.4148, r2 = -9.3647, r3 = -28.6375, TA = 12.3154, r5 = 47.1178, r6 = 32.8199, r7 = 47.5972, rg = 24.6504, rg = -0.6475, compute the last two residuals, r10 and r1, and plot all the residuals vs r. Do you think this is a good model? Why/why not? Hint: You can use E = 5031.14, Eriyi = 26004.2, Ey = 190261.
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