'Root mse' diaporamas de présentation

6-1 Introduction To Empirical Models

6-1 Introduction To Empirical Models. 6-1 Introduction To Empirical Models. Based on the scatter diagram, it is probably reasonable to assume that the mean of the random variable Y is related to x by the following straight-line relationship:.

1.65k views • 106 slides

5-5 Inference on the Ratio of Variances of Two Normal Populations

5-5 Inference on the Ratio of Variances of Two Normal Populations. 5-5.1 The F Distribution. We wish to test the hypotheses:. The development of a test procedure for these hypotheses requires a new probability distribution, the F distribution.

1.03k views • 85 slides

Time Series Analysis: Method and Substance Introductory Workshop on Time Series Analysis

Time Series Analysis: Method and Substance Introductory Workshop on Time Series Analysis. Sara McLaughlin Mitchell Department of Political Science University of Iowa. Overview. What is time series? Properties of time series data Approaches to time series analysis

1.21k views • 79 slides

Introduction to Instrumental Variables Methods

Introduction to Instrumental Variables Methods. Christian Hansen Booth School of Business University of Chicago. Introduction. Many studies in social sciences interested in inferring structural/causal/treatment effects Price elasticity of demand Effect of smoking on birthweight

970 views • 71 slides

Biostat 200 Lecture 10

Biostat 200 Lecture 10. Simple linear regression. Population regression equation ? y|x = ? + ? x ? and ? are constants and are called the coefficients of the equation ? is the y-intercept and which is the mean value of Y when X=0, which is ? y|0

818 views • 66 slides

Section VII Comparing means & analysis of variance

Section VII Comparing means & analysis of variance. How to display means- ok in simple situations. Presenting means - ANOVA data.

779 views • 62 slides

Lab 12

Lab 12. Prediction, Regression with multiple IVs. Proc Reg; Model dv = iv1 iv2 / stb selection=forward (or backward, stepwise, maxr, minr, rsquare) ; Plot dv*iv1; Plot dv*iv2; Plot p.*r.; Run ;. Example Forward. data d6; infile 'C:WINDOWSDesktoplab12.txt';

450 views • 26 slides

Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). EPP 245 Statistical Analysis of Laboratory Data. The Basic Idea. The analysis of variance is a way of testing whether observed differences between groups are too large to be explained by chance variation

351 views • 24 slides

Creating Graphs on Saturn GOPTIONS DEVICE = png HTITLE = 2 HTEXT = 1.5 GSFMODE = replace;

Creating Graphs on Saturn GOPTIONS DEVICE = png HTITLE = 2 HTEXT = 1.5 GSFMODE = replace; PROC REG DATA =agebp; MODEL sbp = age; PLOT sbp*age; RUN ; This will create file sasgraph.png Transfer file to PC (binary mode) 2. Open Word 3. Choose Insert picture from file

309 views • 24 slides

Univariate Regression Variance, Slope & Correlation

Univariate Regression Variance, Slope & Correlation. MSIT3000 Lecture 18. Objectives. Learn how to estimate the disturbance in a regression model. Assess the usefulness of an OLS model through the slope: using hypothesis tests, and confidence intervals

1.08k views • 21 slides

Residual Analysis

Residual Analysis. Chapter 8. Model Assumptions. Independence (response variables y i are independent)- this is a design issue Normality (response variables are normally distributed) Homoscedasticity (the response variables have the same variance).

1.6k views • 20 slides

The Effect of Pollution on the Value of Houses

The Effect of Pollution on the Value of Houses. Econometric Analysis Walter Sosa-Escudero Spring 2009. A really classic paper: Harrison, D. and Rubinfeld, D., 1978. Hedonic prices and the demand for clean air, Journal of Environmental Economics and Management, 5, 81-102. Motivation.

249 views • 16 slides

Instrumental Variables I

323 views • 16 slides

Realized volatility and acquisitions

286 views • 15 slides

Graphs!

Graphs!. Educational attainment and income and income growth measures. sum. Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- statefips | 3079 30.39006 14.90141 1 56

206 views • 12 slides

Crosstabs and significance

Crosstabs and significance. Standard Errors of correlations. Personal Income. Estimated | 1999 | Personal | Income | Freq. Percent Cum. ------------+----------------------------------- 1 | 178 11.16 11.16

177 views • 7 slides

Zinc Data

Zinc Data. EPP 245 Statistical Analysis of Laboratory Data. . insheet using "Zinc.raw" (2 vars, 91 obs) . do "zinc.do" . regress peakarea concentration Source | SS df MS Number of obs = 91

214 views • 5 slides