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Regression Analysis

Finding the Best Equation to Predict Y: MegaStat

See attached Excel spreadsheet. "Y" is the dependent variable and the "X"'s are independent variables. Use MegaStat and its Regression capabilities to find the "best" equation that predicts Y based upon the X's. (Don't accept the first equation you find, try others also.) What do you notice in the regression analysis? Which v

Regression Analysis of Cafe Average Hourly Sales

See attached data file. Perform a regression analysis on your data using Microsoft® Excel®. It will be sufficient if you have one dependent and one independent variable and collect your data sets for those. You are welcome to do a multi variable regression analysis if you like to . Be sure to attach the results of the

ANOVA, R-square, Significance of Regression Model: Example

Two experts provided subjective lists of Nine school districts that they think are among the best in the country. For each school district, the average class size, the combined SAT score and the percentage of students who arrived at a four-year college were provided. The following ANOVA table contains information that was ge

Realtor using regression analysis for house prices


Regression Hypothesis Test on Real Estate Data


Regression Analysis: Hypothesis Testing Example Problem

A research would like to examine the effects of humidity on eating behavior. It is known that laboratory rats normally eat an average of µ = 21 grams of food each day. The research selects a random sample of n = 16 rats and places them in a controlled atmosphere room in which the relative humidity is maintained at 90%. The dail

Regression Model for predicting risk for stroke.


General Statistics


Statistics: Multi Regression analysis




SPSS Input


Multiple Regression & Seasonal Forecasting


Multiple Regression Analysis and Hypothesis Test


Elasticity Case and Questions: National consumption of chicken


Statistics: Finding Predicted Value and Prediction Interval

Refer to the data below: CO2 314 317 320 326 331 339 346 354 361 369 Temperature 13.9 14.0 13.9 14.1 14.0 14.3 14.1 14.5 14.5 14.4 a) Find the predicted temperature (in degrees C) when the CO2 concentration is 370.9 parts per million b) Find a 99% prediction interval estimate of the temperature (in degrees C) w

Relationship Between Volume and Cost Productions


Regression analysis: TV sales

Market area TV sales Income$ Number of competitors 1 3200 42000 5 2 3350 46000 3 3 2800 35000 6 4 4000 51000 4 5 3600 47000 4 6 3500 48000 3 7

Regression equation, predictions

Identify the regression equation and make the prediction. Show your procedure, or explain how you reached your answer. Costs of Television: Find the best predicted quality score of a Hitachi television with a price of $1900. Is the predicted quality score close to the actual quality score of 56? Price 2300 1800 2500 2700 2

Scatterplot, Regression Analysis and Correlation Hypothesis Test


Correlation and Regression Prediction

Identify the regression equation and make the prediction. Show your procedure, or explain how you reached your answer. Find the best predicted cost of subway fare when the CPI is 182.5 (in the year 2000) CPI 30.2 48.3 112.3 162.2 191.9 197.8 Subway 0.15 0.35 1 1.35 1.5 2 Fare Regression equation: Predicted value:

Regression Equation: Calculation of Prediction Interval

Find the prediction interval. Construct the indicated prediction interval for an individual y. The equation of the regression line for the paired data below is: y-hat = 6.1829 + 4.3394x and the standard error of estimate is se = 1.6419. Find the 99% prediction interval of y for x = 11. The summation values are l

General Statistics


Perform Regression Hypothesis


Correlation Testing & Regression Analysis


Statistics: Hypothesis Testing, Regression, and Multiple Populations


Correlation and Regression Analysis

7. 8 recent money spent for 2 years ^ Y = 0.0914x + 46.291 Mon recent x 454.8 664.1 745.8 783.9 798.1 1043.7 955.8 1224.4 Spent y 449.5 682.3 745.7 759.6 731.2 1019.9 928.2 1152.5 a. Find coefficient determination and interpret the result _________________ b. How can coefficient determination be interpreted c. T

Statistics: 3 Regression analysis using benefits column from AIU data set

See attached data file. Details: Prepare a report using Excel as your processing tool to process three simple regression analyses. First run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the