Essay questions
1. in exercise 6.3 step 5, what can you say about the assumption of constant variance?
2. in exercise 6.3 step 7, what can you say about the assumption of constant variance?
3. in exercise 6.3 step 8, what can you say about the assumption of normality
Essay questions 1. in exercise 6.3 step 5, what can you say about the assumption of constant vari...
1. In Forward Selection a variable is added to the model if its p-value is greater than alpha. a) True b) False 2. We have collected 5 independent variables, (X1, X2, X3, X4, and Xs). We wish to use Backward Elimination to determine the optimal subset of variables to use. When performing Backward Elimination, what model do we start with? a) Y = βο + βιXI + β2Χ2 + β3Χ3 + β4Χ4 + βsXς +ε b) Y = βο +...
Need help with stats true or false questions Decide (with short explanations) whether the following statements are true or false a) We consider the model y-Ao +A(z) +E. Let (-0.01, 1.5) be a 95% confidence interval for A In this case, a t-test with significance level 1% rejects the null hypothesis Ho : A-0 against a two sided alternative. b) Complicated models with a lot of parameters are better for prediction then simple models with just a few parameters c)...
0.2 pts) Based upon the data what can you say about the mean size of leaves you would expect on trees that are 20 meters away from the road? (explain your reasoning) (k, 2 pts) Based upon the data what can you say about the mean size of leaves you would expect on trees that are 30 meters away from the road? (explain your reasoning) (1.2 pts) Based upon your results above can we conclude that pollution from the road...
can you answer step by step please What type of experimental design is employed in this problem? 1. 3. Use a multiple boxplot in order to compare responses B,C, D) are to bo oompared for read wear aner 24,000 mles of demng Anexpennent 4. State clearly the hypothesis that we are testing in this probiem 5. Run ANOVA on the data and ganerate the output with plots f there is eny significent difference fferent mean? (Hint use the boxplots from...
6. Step 6: the formula for the intercept (i.e. constant: denoted as Alpha Hat) of a bivariate regression is Find the Alpha hat= !! As the formula indicates, simply you need put the y and subtract the product of and the answer you responded in question 5 above. 3 7. Now you do have regression equation. By plugging in x in the above equation you can fill in the third column below. Once you fill in the third column, by...
Lesson If you have been outside on a cold windy day, you have experien emperature that our bodies feel when the wind blows on our skin on a com wind chill, the temperature seems to our bod dangerous. Meteorologists predict the temp outside. For example, people need to know the displays wind chills for various windsds when the outside temperature is 15 ve experienced wind chill Windchill is the our skin on a cold day. When we experience to our...
Part 1: Model Building 1. Submit both this word and excel file 2. Keep two decimal places for your answer Using the data Reynolds.xls. The variables are defined as: Sales (Y) =number of electronic laboratory scales sold Months (X) =the number of months the salesperson has been employed 1. Develop the scatter plot using Sales as y axis and Months as x axis, and can you see the curvature? 2. Using a simple linear regression model to develop an estimated...
PLEASE ANSWER ALL parts . IF YOU CANT ANSWER ALL, KINDLY ANSWER PART (E) AND PART(F) FOR PART (E) THE REGRESSION MODEL IS ALSO GIVE AT THE END. REGRESSION MODEL: We will be returning to the mtcars dataset, last seen in assignment 4. The dataset mtcars is built into R. It was extracted from the 1974 Motor Trend US magazine, and comcaprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973-74 models). You can find...
gold ($/oz) Y copper (cents/lb) X1 silver ($/oz) X2 Aluminum (cents/lb) X3 161.1 64.2 4.4 39.8 308 93.3 11.1 61 613 101.3 20.6 71.6 460 84.2 10.5 76 376 72.8 8 76 424 76.5 11.4 77.8 361 66.8 8.1 81 318 67 6.1 81 368 66.1 5.5 81 448 82.5 7 72.3 438 120.5 6.5 110.1 382.6 130.9 5.5 87.8 Statistics 11 Homework 9 Due Wednesday, Nov. 20 Metals.jmp lists the yearly average price of gold, copper, silver, and aluminum....
X Part I. Derive Bivariate Regression by hand. Again, we are using the same data set that we used in the in-class assessment. Case Dietary Fat Body Fat 22 9.8 22 11.7 14 8.0 21 9.7 32 10.9 26 7.8 30 21 17 1. Step 1: Find the mean of dietary fat x = 2. Step 2: Find the mean of body fat y = 3. Step 3: Find the sum of (x1 - x)y- y) = 3316 4. Step...