Excel Part II More on Plotting Section 8 Fall 2013 EGR 105 Foundations of Engineering I.

Slides:

Advertisements

Similar presentations

©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin Lesson 12.

Advertisements

Excel Part I Basics and Simple Plotting Section 008 Fall 2013 EGR 105 Foundations of Engineering I.

Student Engagement in Statistics Classes Does the source of data used in statistical problem solving have any impact in student learning? Fouzia Baki,

This presentation will probably involve audience discussion, which will create action items. Use PowerPoint to keep track of these action items during.

Introduction to Statistics & Measurement

STAT E-100 Section 2—Monday, September 23, :30-6:30PM, SC113.

Chapter 14 The Simple Linear Regression Model. I. Introduction We want to develop a model that hopes to successfully explain the relationship between.

EGR 105 Foundations of Engineering I

Excel Part III Curve-Fitting, Regression Section 8 Fall 2013 EGR 105 Foundations of Engineering I.

Welcome to Econ 420 Applied Regression Analysis Study Guide Week Three Ending Tuesday, September 11 (Note: You must go over these slides and complete every.

The Use and Interpretation of the Constant Term

CORRELATON & REGRESSION

Choosing a Functional Form

Consider the graphs of f(x) = x – 1 and f(x) = lnx. x y y = x – 1 y = lnx (1.0) Sections 2.6, 2.7, 2.8 We find that for any x > 0, x – 1 > lnx Now, suppose.

Engineering Fundamentals and Problem Solving, 6e Chapter 5 Representation of Technical Information.

Get number The ginput command creates crosshairs. When the user clicks the x,y values of the crosshairs are returned.

EGR 105 Foundations of Engineering I Fall 2007 – week 3 Project 1.

EGR 105 Foundations of Engineering I Fall 2007 – week 7 Excel part 3 - regression.

EGR 105 Foundations of Engineering I Fall 2007 – week 7 Excel part 3 - regression.

Statistics 350 Lecture 1. Today Course outline Stuff Section

EGR 105 Foundations of Engineering I Fall 2007 – week 11 Presentation Tips.

EGR 105 Foundations of Engineering I Fall 2007 – Week 4.

EGR 105 Foundations of Engineering I Fall 2007 – Week 3.

EGR 105 Foundations of Engineering I Session 3 Excel – Basics through Graphing Fall 2008.

EGR 105 Foundations of Engineering I Fall 2005 – week 10 Project time.

Introduction to Linear Regression.  You have seen how to find the equation of a line that connects two points.

Chapter 5 Plotting Data Curve Fitting, Good Graphing Practices Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.

McGraw-Hill/Irwin Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. Time Series and Forecasting Chapter 16.

Time Series and Forecasting

Regression, Residuals, and Coefficient of Determination Section 3.2.

1 Chapter 10 Correlation and Regression We deal with two variables, x and y. Main goal: Investigate how x and y are related, or correlated; how much they.

Exponentials, logarithms and rescaling of data Math 151 Based upon previous notes by Scott Duke- Sylvester as an adjunct to the Lecture notes posted on.

9 - 1 Intrinsically Linear Regression Chapter Introduction In Chapter 7 we discussed some deviations from the assumptions of the regression model.

Statistics for Business and Economics 8 th Edition Chapter 11 Simple Regression Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Ch.

TODAY IN ALGEBRA…  Learning Goal: 7.2 You will solve systems of linear equations by Substitution  Independent Practice.

Chapter 5 Review: Plotting Introduction to MATLAB 7 Engineering 161.

Math 125 Statistics. About me  Nedjla Ougouag, PhD  Office: Room 702H  Ph: (312)   Homepage:

Unit 11, Part 2: Introduction To Logarithms. Logarithms were originally developed to simplify complex arithmetic calculations. They were designed to transform.

Unit 11, Part 2: Introduction To Logarithms. Logarithms were originally developed to simplify complex arithmetic calculations. They were designed to transform.

Section 3.3a!!!. First, remind me… What does the horizontal line test tell us??? More specifically, what does it tell us about the function This function.

4.2 Linear Relations Math 9.

MARE 250 Dr. Jason Turner Hypothesis Testing III.

Foundations of engineering design I Class 14– Oct 9 Excel as a Modeling Tool + Professional .

Fitting Exponentials and Polynomials to Data Lesson 11.7.

Chapter 13 The Math for Graphing in DC Circuits. Graphing Overview  Critical for practical analysis many different natural systems. Note: Theoretical.

Graphing In Science BRAINSTORM Why is it important for scientists to organize their data? List as many ways as you can that scientists organize information.

ALGEBRA II EVERYTHING YOU WANTED TO KNOW ABOUT LOGARITHMS, BUT DID NOT KNOW WHAT TO ASK.

Physics 270.  y ( x )Data Set #1 t (s) y (cm)

The Guide to Great Graphs Ten things every graph needs! Or… Ten things we hate about graphs!

Text Exercise 12.2 (a) (b) (c) Construct the completed ANOVA table below. Answer this part by indicating what the f test statistic value is, what the appropriate.

Solving Exponential Equations. We can solve exponential equations using logarithms. By converting to a logarithm, we can move the variable from the exponent.

Chapter 14: Inference for Regression. A brief review of chapter 4... (Regression Analysis: Exploring Association BetweenVariables )  Bi-variate data.

Algebra 1 14 NOV ) Put papers from your group folder into your binder. 2) Put your binder, hw and text on your desk. START WU. THE ONLY PAPERS THAT.

Introduction to MATLAB 7 Engineering 161 Engineering Practices II Joe Mixsell Spring 2012.

Section 2.6 Special Functions. I. Constant function f(x) = constant Example: y = 4 II. Identity function f(x) = x Types of Special Functions y = x.

Fall CSE330/CIS550: Introduction to Database Management Systems Prof. Susan Davidson Office: 278 Moore Office hours: TTh

Chemistry Lab Report & Graphing Basics. Formatting Your Paper  Typed  Double spaced  12-pt Times New Roman font  Each section should be titled  Name.

Correlation  We can often see the strength of the relationship between two quantitative variables in a scatterplot, but be careful. The two figures here.

Making Logical Decisions Logical Expressions (AND, OR and NOT) IF Function Nested IF Function.

Slide Slide 1 Chapter 10 Correlation and Regression 10-1 Overview 10-2 Correlation 10-3 Regression 10-4 Variation and Prediction Intervals 10-5 Multiple.

Chapter 12 Simple Regression Statistika.  Analisis regresi adalah analisis hubungan linear antar 2 variabel random yang mempunyai hub linear,  Variabel.

1.On smart phone or laptop: please go to to fill out your contact info. See if anyone else needs to use laptop when you are finished.

Announcements Topics: -roughly sections 1.4, 2.2, and 2.3 * Read these sections and study solved examples in your textbook! Work On: -Practice problems.

CIVE Engineering Mathematics 2.2 (20 credits) Statistics and Probability Lecture 12- Linear regression review Transforming data -Coursework questions?

INF 397C Fall, 2003 Days 13.

1) A residual: a) is the amount of variation explained by the LSRL of y on x b) is how much an observed y-value differs from a predicted y-value c) predicts.

Lecture 08: Coordinate Transformation II

Regression assumptions Return to the paper Questions?

Leesylvania Elementary School

The Scientific Method.

Presentation transcript:

Excel Part II More on Plotting Section 8 Fall 2013 EGR 105 Foundations of Engineering I

Excel Part II Topics Data (engineers collect and use) –Viewing –What is in the data? –Plotting Data…some ways to look at data Background on Plot Types Transforming data to Log 10 Using Log 10 Scales Homework Assignment

Engineering and Data For Engineers, Data… –is useful –often routinely collected –requires interpretation –is used in a variety of ways –can be complex and difficult to work with

Data Can Be Complicated

Viewing Data Recorded data can show a variety of important trends and patterns Plotting can provide insight –There are different ways to view the data –It is important how data are presented –Often want to see data details on one plot Useful for developing equations Will cover this topic next time in Excel Part III

What is in the Data? When you have a set of data, ask… –What do these data tell me? –Is there a trend…a relationship….? –How do the data describe reality? Not always obvious –Sometimes requires different looks –Plotting of data can be very useful

Presentation of x-y Data Independent versus dependent variables y y = f(x) x independent dependent

Simple Plotting Generate X and Y data to Plot

Common Types of Plots Example: f(x) = y = 3x 2 (plots for equations and/or data) Semi-log : Log (Y) Cartesian Semi-log : Log (X) Log-Log : Log (X)-Log (Y)

Excel Part II Topics Data (engineers collect and use) –Viewing –What is in the data? –Plotting Data…some ways to look at data Background on Some Useful Plot Types Transforming data to Log 10 Using Log 10 Scales Homework Assignment

Lets Review These Plots How were they created? What is – a linear plot – a semi-log plot – a log-log plot – a logarithmic scale Note that here we use Log 10

Linear Scale xy=f(x) Note: Cannot see details of these points

Take Log 10 of x-data xLog (x)y=f(x) Note: Cannot see details of these points Observe: Log (0) undefined Semi-Log Plot

Take Log 10 of y-data xf(x)Log (f(x)) Observe: Log (0) undefined Semi-Log Plot

Take Log 10 of x-data and y-data xLog (x)y=f(x)log (f(x)) Note: Now can see details of these points Observe: Log (0) undefined Log-Log Plot

Excel Part II Topics Data (engineers collect and use) –Viewing –What is in the data? –Plotting Data…some ways to look at data Background on Plot Types Transforming data to Log 10 Using Log 10 Scales Homework Assignment

Easier Way Create plots using Log 10 scales – No need to convert any of the data – By hand on paper (available in stores) Semi- Log 10 paper Log 10 -Log 10 paper – Software packages Excel MatLab (in EGR 106 next semester) other

Plot Using Log 10 Scale for x xy=f(x) Semi-Log Plot Observe: No zero on Log scale - Log (0) undefined Note: Scale variation is logarithmic

Plot Using Log 10 Scale for y xy=f(x) Semi-Log Plot Observe: No zero on Log scale - Log (0) undefined Note: Scale variation is logarithmic

Plot Using Log 10 Scale for x and y xy=f(x) Log-Log Plot Observe: No zero on Log scale - Log (0) undefined Note: Scale variation is logarithmic

Excel Part II Topics Data (engineers collect and use) –Viewing –What is in the data? –Plotting Data…some ways to look at data Background on Plot Types Transforming data to Log 10 Using Log 10 Scales Homework Assignment

Homework Assignment #4 See HW4 on course web site –Import historical data for computer memory prices into spreadsheet –Determine cost in $s/megabyte for each year –Plot data two different ways Linear scale Semi-log scale Discussion of details found in results

Homework Assignment #4 Submission Procedures Submit your Excel Spreadsheet with: -all imported and calculated data -each of the two plots -discussion embedded in a text box Send as an attachment to Prof. Sadd with the subject line egr105_4 (no spaces). Due Date: October 24.