19)
correct option :=D: At level 0.05 size is not significant predictor
of price because, from the output we can see that p-value for the
size variable is 0.07219 which is > 0.05 hence its not
significant to predict Price
20)
Option A: As the coefficient of Pool is -25258 which is negative
hence it decreases Price by -25258 and also as it p-value is 0.0025
which is <0.05 hencec is significant, at level 0.05, for
predicting price.
21)
Option C :Correlation doesn't always show causation. Which means
correlation can be positive and yet the variable dont have a cause
and effect on each other.
19: Which statement is correct? A The square of 571 is the best goodness of fit...
For the following question (#19 and #20), please use the following multiple regression output. The dependent variable is Home Price: ($) the independent variables are Number of Bedrooms, Size (square footage), and Pool (0 = no pool, 1 = pool). 19: Which statement is correct? SUMMARY OUTPUT A: The R square of 571 is the best goodness of fit statistic to use for multiple regression analyses. B: The Number of Bedrooms is not a significant predictor variable. Regression Statistics Multiple...
Please show all work need help with ALL parts part of one question Assignment 3 [Read-Onlyl Word View ? Tell me Share File Home Insert Design Layout References Mailings Review Outline Draft New WindowE Arrange All Switch Macros Properties Windows Web Side Show Zoom 100% Read ode Layout Layout Learning Tools to Side Split Macros SharePoint Views Immersive Page Movement Part (b) (2 points) Interpret the estimated value of the intercopt, i.e,explain what the number means in this regression Part...
Multiple Regression Analysis This information is taken from 80 homes recently sold along the Gulf of Mexico coast.Analyze the data to discover which of the variable have a statistically significant influence on the sales price. A. Write out the equation for the model you develop B, Interpret the equation as a model and the meaning of the information for each variable in your "best" model C.Interpret the confidence intervals for each of the statistically significant variables Use the data provided...
Y = listing priceX1 = interior floor space (square footage of the house)X2 = land size (square footage). This is usually represented by length of the front of the lot (in ft) X the depth of the lot (in ft). sizes range but a common lot size in Vancouver is 33 X 120. You will need to convert this to feet squared (area) before entering it into your spreadsheet (i.e., 3960)X3 = number of bedroomsX4 = number of bathroomsX5 =...
The following ANOVA model is for a multiple regression model with two independent variables: Degrees of Sum of Mean Source Freedom Squares Squares F Regression 2 60 Error 18 120 Total 20 180 Determine the Regression Mean Square (MSR): Determine the Mean Square Error (MSE): Compute the overall Fstat test statistic. Is the Fstat significant at the 0.05 level? A linear regression was run on auto sales relative to consumer income. The Regression Sum of Squares (SSR) was 360 and...
All of the following questions are in relation to the following journal article which is available on Moodle: Parr CL, Magnus MC, Karlstad O, Holvik K, Lund-Blix NA, Jaugen M, et al. Vitamin A and D intake in pregnancy, infant supplementation and asthma development: the Norwegian Mother and Child Cohort. Am J Clin Nutr 2018:107:789-798 QUESTIONS: 1. State one hypothesis the author's proposed in the manuscript. 2. There is previous research that shows that adequate Vitamin A intake is required...