Find variance of Y1
Q: If X is distributed as N(0,2), and Y = 3 + 2X. (a) What is the mean of Y? (b) What is the variance…
A: Normal Distribution: A continuous random variable X is said to follow Normal distribution with…
Q: Find the residual associated with 2007
A: From the obtained results, the regression line is:ŷ= -1.575+1.325x.
Q: Explain in detail the main features of ARCH/GARCH approach and their differences. Explain how these…
A: ARCH: It stands for Autoregressive Conditionally Heteroscedastic model. It is used for the variance…
Q: Explain how to determine the variance ination factor (VIF) for a predictor variable x1 in a…
A: Variance inflation factor:Variance inflation factor of a variable is the ratio of the variance of…
Q: How do you calculate a coefficient of correlation of two indexes’ returns?
A: Let the two indexes’ returns be A and B.The coefficient of correlation measures the degree to which…
Q: If X, Y and Z are uncorrelated and independent variables with the same variance o and zero mean.…
A:
Q: The line of regression of marks in Statistics (X) on marks in Accountancy (Y) for a kE of 50…
A:
Q: The r^2and least square can be an excellent way to demonstrate the degree of correlation between 2…
A: r2 is known as coefficient of determination.it measure the strength of correlation between 2…
Q: There are two risky shares, where you have calculated the means, and the correlation coefficient of…
A: There are two risky shares, where you have calculated the means, and the correlation coefficient of…
Q: How the squared curvilinear correlation, η2, reflects the proportion of variance?
A: In analysis of variance, either for regression model or for design, if the proportion of variance is…
Q: Given the two lines of regression, X + 2Y- 5 = 0 and 2X + 3Y - 8= 0; identify the regression line of…
A:
Q: riance and correlation matric
A: s no X1 X2 X3 X4 1 48 7.2 4.9 495 2 40 7.4 5 524 3 41 7.7 5.3 461 4 52 7.1 4.8 552 5 41…
Q: Where did we get the one over two-squared? I don't understand why it is one over 2^2 Variance…
A: Please find the explanation below.
Q: Explain why y is considered the least squares estimator of the mean of Y, µy.
A:
Q: Could you please teel me why should a firm, for profit, care not only about the expected profit, but…
A: Given that Could you please teel me why should a firm, for profit, care not only about the…
Q: Define concept of Regression with a Binary Dependent Variable?
A:
Q: Linear Regression models can be optimised to avoid high variance by means of regularisations such as…
A: If the linear model contains many predictor variables or if these variables are correlated, the…
Q: If the variance of the sum is Var(X+Y) = 6 and Var(X) = Var(Y) = 4, then what is the correlation…
A: given data Var(X+Y) = 6 Var(X) = Var(Y) = 4 corr(X,Y) = ?
Q: The Alpha Corporation manufactures two products, Mobile phones & Laptops. The average and the…
A: Let Z be the total cost of the Alpha Corporation. Then Z=2X+4.5Y+500 Average of total cost is…
Q: Find the sum-of-squares-error associated with the given set of data and y = 2 + 4. (1, 5) (2, 10)…
A: Sum of Squares: It is a statistical measure that is used to find the variation in the data and fit…
Q: calculate the average and the variance of total cost of the Alpha Corporation..
A: Given, E(X)= 3500 V(X) = 2000 E(Y)=5500 V(Y)=3000 Total cost function = 2X+4.5Y+500
Q: A world wide fast food chain decided to carry out an experiment to assess the influence of income on…
A: Since you have asked multiple question, we will solve the first question (Part A) for you. If you…
Q: Find the variance of these data
A: From the given given sample data : n=5 , ƩX=105 , ƩX2=2333 Our aim is to find the sample variance
Q: Given that the variances of random variables X and Y are 1600 and 400, respectively. The correlation…
A:
Q: Y, = XB + ɛ, Show that the model variance in model Yi unbiased estimator of
A:
Q: a regression line of Y on X, the variable Y is know as random variable dependent variable…
A: The general form of the regression line is: Y^=a+bX Where ′Y^ is the predicted value, 'a' is the…
Q: A least squares line is given by = 3 + (-2)*x. You are told that the sample variance of x is 25…
A: Given regression equation is y=3-2x Sample variance of x is 25 Sample variance of y is 144 Here,…
Q: Write a multiple regression equation that can be used to analyze the data for a randomizedblock…
A:
Q: The demand for a commodity is given by Q = Bo + B₁P+u, where Q denotes quantity, P denotes price,…
A:
Q: Correlation Coefficient Mean SD Weight (pounds) 3185.5 494.5 -907 City MPG 20.962 3.165
A:
Q: Discuss the co efficient of variation also writedown why we use coefficient of variance
A: Coefficient of variation is a measure of dispersion. It indicates how data values vary from the…
Q: Consider the set of points (0,9),(1,5),(6,3) and (9,2). In this set of points, the age of a dolphin…
A: Simple linear regression - Simple linear regression is a linear regression model with a single…
Q: Identify the two procedures that can be used to compute the Spearman correlation.
A: Spearman's rank correlation can be done in two procedures; The case where there are no ties The…
Find variance of Y1
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
- Analysis of Variance can be used to test the significant difference of an independent variable and a dependent variable.A world wide fast food chain decided to carry out an experiment to assess the influence of income on number of visits to their restaurants or vice versa. A sample of households was asked about the number of times they visit a fast food restaurant (X) during last month as well as their monthly income (Y). The data presented in the following table are the sums and sum of squares. (use 2 digits after decimal point) ∑ Y = 393 ∑ Y2 = 21027 ∑ ( Y-Ybar )2 = SSY = 1720.88 ∑ X = 324 ∑ X2 = 14272 ∑ ( X-Xbar )2 = SSX = 1150 nx=8 ny=11 ∑ [ ( X-Xbar )( Y-Ybar) ] =SSXY=1090.5 PART A Sample mean income is Answer Sample standard deviation of income is Answer 90% confidence interval for the population mean income (hint: assume that income distributed normally with mean μ and variance σ2) is [Answer±Answer*Answer] 90% confidence interval for the population variance of income (hint: assume that income distributed normally with mean μ and variance σ2) is…Statistics teacher realize that his studentS keep using cell phones during the class. Then he did some research and found out that people use cell phones for 7.2 hours per day on average in turkey, and usage time variability around that average is 2.0449 Then he decides to givean assignment of reading books as an alternative of cell phone usage in exchange of 50 extra credit to their statistics exam. After the exam, He collected the data of cell phone usage time from his 127 students and calculated that average cell phone usage time drops to 6.8 hours per day. Under the assumption that probability of uncontrolled factors leading you the wrong statistical decision is five percent, conduct the statistical analysis to decide whether decrease in the cell phone usage time is real or it happens just because of the random chance and interpret the results.
- Find the new data point (x,y) in which x=2 from the data points (1,3) and (4,12)Find the equation of the least-squares regression line ŷ and the linear correlation coefficient r for the given data. Round the constants, a, b, and r, to the nearest hundredth. {(1, 4), (3, 6), (5, 11), (7, 15), (11, 23)}Once the correlation coefficient is known, how can we find the amount of the shared variance?