Directions: Use the JMP output to answer questions. Assume that an updated dataset of the real estate data hasbeen released for 2015.1 Analysis of VarianceSum ofSourceDFSquares Mean SquareF RatioModel2158974.0879487.021.2682Error726161.523737.4 Prob > FC. Total9.185135.600.0011*Parameter EstimatesTermEstimate Std Error t Ratio Prob> |t|Intercept-86.15055 51.85546-1.660.1406Condition 14.39459213.513091.070.3221Size8.35427772.4644963.390.0116*1. What is the least squares equation for this data?2. Calculate the coefficient of determination.3. Construct and Interpret a 90% confidence interval for the standard deviation of selling price for homesof any fixed size and condition.

(1). Identify the least squares equation for the given data: Multiple linear regression model: A…

Directions: Use the JMP output to answer questions. Assume that an updated dataset of the real estate data has been released for 2015. 1 Analysis of Variance Sum of Source DF Squares Mean Square F Ratio

Directions: Use the JMP output to answer questions. Assume that an updated dataset of the real estate data has been released for 2015. 1 Analysis of Variance Sum of Source DF Squares Mean Square F Ratio

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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State whether the following Scatter plot has: 1- Positive correlation 2- Negative correlation 3 No correlation Next Question
The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables x1, x2, and x3, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals. Descriptive Statistics Variable N Mean Median TrMean StDev SE Mean x1 15 158.42 158.72 158.42 3.127 0.807388 x2 15 65.95 66.45 65.95 1.091 0.281695 x3 15 187.23 186.63 187.23 4.171 1.076948 Variable Minimum Maximum Q1 Q3 x1 124 174 135.828 166.400 x2 41 80 47.088 77.579 x3 124 244 142.885 223.525 Correlations (Pearson) x1 x2 x2 0.829 x3 0.860 0.661 Regression Analysis The regression equation is x1 = 0.837 + 1.120x2 + 0.928x3 Predictor Coef StDev T P…
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