A study is conducted to find out if there is any relationship between temperature (°C) and cold drink sales (RM) in several selected days. The data are given as follows. 38.7 37.3 36.8 39.5 39 Temperature, x Cold drink sale, y 500 300 240 41.2 38.7 38.5 40.4 41.8 39.7 1000 650 1200 700 | 550 | 800 850 | 1000 Ex=431.6 Ey=7790 E=16957.34 E=6415100 E²=6415100 Ew= 309477 a) Construct an estimated linear regression model. b) Test the significance of linear relationship between temperature and cold drink sales at 5% level of significance. c) Predict the cold drink sales if the temperature is 37°C.

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A study is conducted to find out if there is any relationship between temperature (°C) and cold
drink sales (RM) in several selected days. The data are given as follows.
38.7 37.3 36.8 39.5 39
Temperature, x
Cold drink sale, y 500 300 240
41.2 38.7 38.5 40.4 41.8 39.7
1000 650 1200 700 | 550 | 800 850 | 1000
Ex=431.6
Ey=7790
E=16957.34 E=6415100
E²=6415100
Ew= 309477
a) Construct an estimated linear regression model.
b) Test the significance of linear relationship between temperature and cold drink sales at 5%
level of significance.
c) Predict the cold drink sales if the temperature is 37°C.
Transcribed Image Text:A study is conducted to find out if there is any relationship between temperature (°C) and cold drink sales (RM) in several selected days. The data are given as follows. 38.7 37.3 36.8 39.5 39 Temperature, x Cold drink sale, y 500 300 240 41.2 38.7 38.5 40.4 41.8 39.7 1000 650 1200 700 | 550 | 800 850 | 1000 Ex=431.6 Ey=7790 E=16957.34 E=6415100 E²=6415100 Ew= 309477 a) Construct an estimated linear regression model. b) Test the significance of linear relationship between temperature and cold drink sales at 5% level of significance. c) Predict the cold drink sales if the temperature is 37°C.
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