For the data above , use the linear forecasting model which is y = mx + c to calculate and discuss the followings: Show the steps of calculation of m value and discuss the answer. Show the steps of calculation of c value and discuss the answer. Using the calculated 'm' and 'c' values, forecast the temperature for day 11 and day 14.
|
Town |
Date time |
Temp. max |
Temp. min |
temp |
Feels like max |
Feels like min |
Feels like |
dew |
|
London |
2022-07-07 |
23.3 |
16.7 |
19.5 |
23.3 |
16.7 |
19.5 |
11.5 |
|
London |
2022-07-08 |
26.9 |
15 |
21.2 |
26.7 |
15 |
21.2 |
12.4 |
|
London |
2022-07-09 |
25 |
15.9 |
20.6 |
25 |
15.9 |
20.6 |
11.4 |
|
London |
2022-07-10 |
26.6 |
14.7 |
20.8 |
26.6 |
14.7 |
20.8 |
12.3 |
|
London |
2022-07-11 |
29 |
16.4 |
22.8 |
28.2 |
16.4 |
22.7 |
12.5 |
|
London |
2022-07-12 |
30.1 |
18.4 |
23.9 |
28.6 |
18.4 |
23.6 |
12.2 |
|
London |
2022-07-13 |
26.5 |
17.3 |
20.9 |
26.5 |
17.3 |
20.9 |
14.3 |
|
London |
2022-07-14 |
23.5 |
12 |
17.7 |
23.5 |
12 |
17.7 |
7.4 |
|
London |
2022-07-15 |
24.6 |
13.4 |
18.4 |
24.6 |
13.4 |
18.4 |
8.8 |
|
London |
2022-07-16 |
30 |
13.6 |
21.7 |
29.4 |
13.6 |
21.5 |
11.7 |
|
London |
2022-07-17 |
25.9 |
13.7 |
19.5 |
25.9 |
13.7 |
19.5 |
9.4 |
For the data above , use the linear forecasting model which is y = mx + c to calculate and discuss the followings:
- Show the steps of calculation of m value and discuss the answer.
- Show the steps of calculation of c value and discuss the answer.
- Using the calculated 'm' and 'c' values, forecast the temperature for day 11 and day 14.
Hint - Use the following formulas to calculate the ‘m’ and ‘c’ values.
Step by step
Solved in 4 steps with 3 images
