From the given information above,
a) There are strong negative linear correlation between weight and fuel mileage. Correlation is -0.866579
b) Here, P value is less than level of significance. There is sufficient evidence to support the claim that the there is negative linear Correlation between the two Variables. And it is significant.
c) According to above Regresaion equation,
when vehicle weighs is 3300
Vehicle millage =45.645-0.0052220*3300
=45.645-17.2326
=28.4
Using a random sample of 25 vehicles, is there a relationship between a vehicle's weight (measured...
Q6). We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. Weight Fuel Efficiency 2710 24 2550 24 2680 29 2720 38 3000 25 3410 22 3640 21 3700 27 3880 21 3900 19 4060 21 4710 16 Part (c) Find the equation of the best fit...
The following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/ 24 hr). Predictor Coef SE Coef T P Constant 0.8408 0.4148 2.06 0.84 Weight 0.39836 0.02978 13.52 0.000 S = 0.517508 R-Sq = 96.8% (a) Write out the least-squares equation. y hat = + x (b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child...
The following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/ 24 hr). Predictor Coef SE Coef T P Constant 0.8516 0.4148 2.06 0.84 Weight 0.41294 0.02978 13.52 0.000 S = 0.517508 R-Sq = 96.8% (a) Write out the least-squares equation. (b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child increase? (Use 5 decimal places.)...
The Minitab output shown below was obtained by using paired data consisting of weights (in lb) of 28 cars and their highway fuel consumption amounts (in mi/gal). Along with the paired sample data, Minitab was also given a car weight of 4500 lb to be used for predicting the highway fuel consumption amount. Use the information provided in the display to determine the value of the linear correlation coefficient. (Be careful to correctly identify the sign of the correlation coefficient.)...
(also how do i justify my claim saying that there is a
relationship between weight and bloodpressure using statistical
concepts such as regression) please help, ive been stuck on this
for a while
Scatterplot Data: Statistic Value Pearson Correlation Coefficient 0.05 1st 3rd Mea Std. Minimu Quarti Medi Quart Maximu Variable nn le an IQR Weight6 737 67.045.30056 55064.40 72.800 576000 162 (Kg) 0 0316 0 Diastolic6 836 565 62.000 81.000 85 0087 000 95.000600 BP 0 67 0 ....
2. Using the data set of the Health Exam Results, conduct the following analysis between the variables of weight (WT) and Body Mass Index (BMI). Number the data set from 1 to 40, and select the following individuals: . Set 1 (Malo): 1, 5, 10, 13, 15, 18, 19, 24, 29, 31, 32, 33 .Set 2 (Fomalo): 4, 9, 15, 16, 17, 22, 23, 29, 33, 37, 38, 40 Draw a scatter diagram of the sample of 12 data set...