Bluereef real estate agent wants to form a relationship between the prices ofhouses, how many bedrooms, House size in sq ft and Lot Size in sg ft. The datapertaining to 100 houses were processed using MINITAB and the following is anextract:The regression equation is Price = B + ÞBedroom + yHouse Size + ALot SizePredictorCoefSE CoefTPConstant37718141772.66**Bedrooms230669940.330.742House Size74.352.980.164Lot Size-4.3617.02-0.26 0.798s= 25023R-Sq=56.0%R-Sq(adj)=54.6%SourceDFMSFPRegressionResidual376501718347 25500572782****Error9660109046053626135896Total991. Fill in the missing values *, **,and****2. Use the p-value approach to determine if o is significant at the 5% significancelevel

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Isla Esme, Inc., sells tea products to various customers. In recent years, profits have been declining. The CFO of the business investigated the reasons for the profit decline and performed regression analysis for sales and costs. He determined that sales depend on product price, delivery speed, customer services, and marketing expenses. He also determined that total costs consist of variable costs of $25 per unit and fixed costs of $56,000. Marketing expenses have a coefficient of determination of 75% related sales.Question: Define the coefficient of determination and explain what it means in this scenario.
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the space, the following variables are used in a multiple regression model. y = sales price (in thousands of dollars) x₁ = total floor area (in square feet) x₂ = number of bedrooms x3 distance to nearest high school (in miles) = The estimated model is as follows. =76+0.098x₁ +16x₂ - 8x3 Answer the questions below for the interpretation of the coefficient of X₂ in this model. (a) Holding the other variables fixed, what is the average change in sales price for each additional bedroom in a house? dollars (b) Is this change an increase or a decrease? O increase O decrease X
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The figure plots the number of manatee deaths by boat versus the number of boats registered to Florida and thousands. There is a clear straight line pattern with a modest amount of scatter. The correlation between these variables is R equals 0.94. What percentage of the observed variation among the manatee deaths by boats is explained by the straight line relationship between manatee deaths and number of boats registered?
John finds r=-.60 between the variable of number of hours studied (X) and number of errors on a statistics test (Y). He also finds r= +.30 between the variables of size of the classroom (X) and number of errors on the test (Y). (a) describe the relative shapes of the two scatterplots (b) describe the relative amount of variability in Y scores at each X in each study (c) describe the relative closeness of Y scores to the regression line in each study
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Below is a scatterplot of a student’s SAT score and their college GPA. Suppose we want to decide if a student’s SAT score and their GPA are linearly related. What does this scatterplot tell us of the relationship? Support your answer. SAT score_GPA scatterplot.pdf
Solve attached photo.
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Use Excel Spreadsheets, Google Sheets, or GeoGebra to create a scatter plot for the data below. (You will upload your graph in the next question.) Use the graph to answer the questions below the table. The following data are the morning and evening high tide levels for Charleston, SC from January 1-14,2017. The information for the PM high tide for January 4 is missing. Create a scatter plot. Find the regression line and use it to estimate the PM high tide for January 4. Then find the correlation coefficient. (NOTE: The first column identifies the day. This data will not be used in the scatter plot.) Day AM High (in feet), xx PM High (in feet), yy 1 5.6 4.8 2 5.5 4.8 3 5.4 4.9 4 5.2 5 5.0 5.1 6 5.2 5.0 7 5.4 4.9 8 5.7 5.0 9 6.0 5.1 10 6.3 5.3 11 6.4 5.4 12 6.5 5.4 13 6.4 5.4 14 6.2 5.3 Source: SCDHEC.gov
Please answer parts d, e and f.

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