Is anyone able to help me solve this? I am trying to use R studios.

The maintenance manager at a trucking company wants to build a regression model to forecast the time until the first engine overhaul (Time in years) based on four predictor variables: (1) annual miles driven (Miles in 1,000s), (2) average load weight (Load in tons), (3) average driving speed (Speed in mph), and (4) oil change interval (Oil in 1,000s of miles). The accompanying data file shows the results for 25 trucks.

b. Predict the time before the first engine overhaul for a particular truck driven 65,000 miles per year with an average load of 20 tons, an average driving speed of 55 mph, and 16,000 miles between oil changes.

Note: Do not round intermediate calculations. Round final answer to 3 decimal places.

Time_______Years

c. Calculate and interpret the 90% confidence interval for the mean time before the first engine overhaul given the values for the predictor variables from part b.

Note: Round final answers to 2 decimal places.

Confidence Interval _______ to _________

d. Calculate and interpret the 90% prediction interval for the time before the first engine overhaul given the values for the predictor variables from part b.

Note: Round final answers to 2 decimal places.

Prediction Interval ____ to ______

Time	Miles	Load	Speed	Oil
7.8	43.2	14	43	13
0.8	98.1	23	47	29
8.6	43.1	18	64	12
1.1	111	23	56	22
1.6	101.9	28	46	19
1.8	97.1	26	60	23
2.4	93.3	22	52	14
7.7	54.4	20	62	15
8.2	51.5	22	56	19
4	85	22	53	26
0.6	120.5	30	50	19
5.3	77.1	29	53	31
5.3	68.8	19	53	25
5.4	55.1	26	53	22
5.8	66.4	18	62	26
8.7	39.9	23	48	11
5.2	52.6	23	56	27
6	54.3	20	43	18
4.5	74.3	24	61	22
6.2	59.2	19	53	20
6.6	51.9	17	49	22
6.7	68.5	17	47	14
3.8	94.1	19	58	23
7.5	45.7	18	54	20
5.8	61.3	20	63	18