B)rent variable
mean=1530
Sd=343.3
Unit. Occupied variable
mean=44.6
SD=5.06
C) correlation. -0.72
ans :I attached image
D),E) and F) also attached image
G) regression equations is
y=60.938 -0.0107X
X=1900
y=60.934+20.273
y=81.207
I )coefficient of determination 0.5252
I attached image correlation image (Last line)
Problem 1 Please do not use any type of software to solve this problem; perform all...
1. Describe the trend of the data, if any. 2. Calculate the linear correlation coefficient and is the linear correlation coefficient significant? Why/why not? 3. Find the least-squares line of regression. 4. Graph the regression line on the scatter plot 5. Plot the residuals (give it your own title and labels for the axes!) with lines for 2 standard deviations of the residuals. 6. Predict the gas mileage of a 2000, 3000 and 4000 lb car. Make a scatter plot...
from part 5-12 plz dont do 1-4 BUNUS Assignment! A Sample Data AnalySIS III Licer Please answer all of the following questions. Make sure you show all your work, providing snapshots from Excel as well as listing all formulas and relevant explanation, as needed. We are interested in exploring the relationship between the income of professors (measured in thousands of dollars) and the number of years they have been employed by the university. We collect the following data from eight...
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Please show your work. God bless 1. (40 points) Consider the following five observations. (9 points) (x-x) (x - x) (y- y) (x - x)(y-y) 2*- {x = 1012 (-:-)= {(x - 1)2 = 20;-)) = (x x)(y- » a) (6 points) What are the sample means of x and y? b) Complete the entries in the table above. Put the sums in the last row. (Show work below) c) Calculate Bo and write out the equation for the fitted...
Please show all parts. This problem is to be solved by hand. The weight and systolic blood pressure of 12 randomly selected males in the age group 25-30 are shown in the table below 3. Subject 12 Weight (ibs), x 165 167 180 165 212 175 190 212 200 | 149 158 169 y130 133 150 128 151146150 140 148 125 133 135 Systolic BP, (a) Plot the points on a scatter diagram. Does there appear to be a linear...
11. Consider the following set of n-6 observations of x and y given in Table 1 i. Graph the observations in a scatter plot on paper by hand by plotting x on the x-axis and y on the y-axis. Comment on the relationship. Using observations from Table 1, what are the sample means i and-? Using observations from Table 1, calculate the deviations and squared deviations from the sample mean for x: (x 11. iii. -x) and (x )for each...
Q3. A company in the field of fast moving consumer goods has launched several new products in recent years. The sales manager has to provide a forecast for sales in the next quarter. These forecasts are used to draw up an initial production plan, which is updated daily as new data becomes available. To provide these forecasts, the sales manager has conducted regression analysis but needs your advice on its interpretation. Extracts from the Excel regression analysis for products A...
BBA 403 TEST 3: Name: Score:_ SOLVE AND THOROUGHLY INTERPRET YOUR ANSWER 1. A marketing manager conducted a study to determine whether there is a linear relationship between many spent on advertising and company sales. The data are shown on the table below. Display the data in a scatter plot, calculate the correlation coefficient, state a conclusion, and interpret the result Adverstising Company Expense, (1000s of s) (1000s of ) 2.4 16 2.0 26 14 1.6 2.0 2.2 184 220...
***PLEASE DO ALL THIS IS MY LAST QUESTION OF THE GIVEN AMOUNT OF QUESTIONS :( *** Which value of r indicates a stronger correlation:r 0.751 orr0.896? Explain your reasoning Choose the correct answer below. A. r=-0.896 represents a stronger correlation because 0.751 >-0.896. B. r=0.751 represents a stronger correlation because l-08961-10.751. C· r--0 896 represents a stronger correlation because 1-0 8961-10751. D. 0.751 represents a stronger correlation because 0.751> -0.896. The budget (in millions of dollars) and worldwide gross (in...
Help & explain please Regression 1. A researcher is willing to investigate whether there is any linear relation bet ween income (x) in thousand dollars and food expenditures (y) in hundred dollars. A sample data on 7 households given the table below was collected. Assuming that a linear model is used to solve the problem. r-3-D) r-I 83 24 13 61 15 17 1. Write down the linear model 2. Write down the fitted regression line and Interpret the slope...