Assignment Read course PowerPoint file: MBD 2 Proj1.pptx (Slides 21-34)

Slides:



Advertisements
Similar presentations
Localized Trendlines LSP 120 Week 6 Joanna Deszcz.
Advertisements

LSP 120 Week 1. True or False? Chickens can live without a head. Chickens can live without a head. True True The Great Wall of China is the only manmade.
LSP 120: Quantitative Reasoning and Technological Literacy Section 118 Özlem Elgün.
Project 1 Lecture Notes. Table of Contents Graphing Functions & Trend Lines Demand, Revenue, Cost, and Profit Differentiation Integration Using Solver.
Chapter 12a Simple Linear Regression
Linear Regression In Excel. Linear Regression  In this presentation you will learn the following: How to make a scatter plot in Excel (Click Here)Here.
Math 174, Spring 2004 Trend Lines. The real world often does not provide us with formulas showing the relationship between two variables. Sometimes we.
Trend Lines Ex. Suppose the number of students at the University of Arizona since 1990 is given by the following table. Fit several trend lines to the.
10.1 Scatter Plots and Trend Lines
Identify Linear, Quadratic, and Exponential Functions N Distinguish quadratic and exponential functions as nonlinear using a graph and/or a table.
9-7 Linear, Quadratic, and Exponential Models
Linear Regression and Correlation Topic 18. Linear Regression  Is the link between two factors i.e. one value depends on the other.  E.g. Drivers age.
Linear, Exponential, and Quadratic Functions. Write an equation for the following sequences.
Types of Graphs Creating a Graph With Microsoft Excel.
1 1 Slide © 2009 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Linear Regression Analysis Using MS Excel Making a graph Analyzing Data.
Excel Data Analysis ENGR 1181 Class 6. Today’s Learning Objectives  After today’s class, students will be able to: Understand and differentiate among.
Linear Trend Lines = b 0 + b 1 X t Where is the dependent variable being forecasted X t is the independent variable being used to explain Y. In Linear.
5-2D Scatter Plots and Trend Lines Warm-up (IN) Learning Objective: to use trend lines and linear functions to interpret data that do not fall neatly on.
2.8Exploring Data: Quadratic Models Students will classify scatter plots. Students will use scatter plots and a graphing utility to find quadratic models.
Essential Question: How do you find a growth factor and a decay factor?
Fitting Exponentials and Polynomials to Data Lesson 11.7.
1 XY Scatter Plots in Excel In this example, the position of a hanger on a spring was measured (with respect to a Motion Sensor) as a function.
Gradient of a Curve: this is given by the gradient of the tangent
FIN3013 Lab #8. UTSA College of Business FIN3013Lab Questions? From Assignment #7.
8.1-2 – Exponential Functions. Ex. 1 Sketch the graph of y = 2 x. Then state the functions domain & range.
Graphs in Physics PowerPoint #4. A graph is… A convenient way to show data.
Agron 503/541 © 2007 Center for Agricultural Instruction & Technology Transfer Iowa State University Duplication of this product is prohibited. For more.
Graphing On Excel Rasienna Willars
Linear Trend Lines = b 0 + b 1 X t Where is the dependent variable being forecasted X t is the independent variable being used to explain Y. In Linear.
Trend Projection Model b0b0 b1b1 YiYi
ENGR 1188 College of Engineering Engineering Education Innovation Center Microsoft Excel: Data Analysis & Graphing.
Model Trendline Linear Excel 2013 V0F 1 by Milo Schield Member: International Statistical Institute US Rep: International Statistical Literacy Project.
Ch.5 Financial Forecasting Goals: 1) Develop pro forma financial statements 2) Learn a Trend Analysis 3) Learn a Regression Analysis 4) Calculate Systematic.
Example 13.2 Quarterly Sales of Johnson & Johnson Regression-Based Trend Models.
LSP 120: Quantitative Reasoning and Technological Literacy Topic 1: Introduction to Quantitative Reasoning and Linear Models Lecture Notes 1.3 Prepared.
Creating a Scatter Plot On a Mac. Data in Excel Spreadsheet Insert the variable you want on the x-axis in the left column Insert the variable you want.
Introduction to Engineering Microsoft Excel - 2 Agenda Scatter Plots Trend Lines.
Do Now Log on to laptops Open your group’s data Copy and paste your data into Excel.
Interdisciplinary Lesson Plan (Algebra 1 and Biology)
2.5 Modeling Real-World Data Using Scatter plots Linear Regression.
Identifying from an equation: Linear y = mx +b Has an x with no exponent (or exponent 1). Examples: y = 5x + 1 y = ½x 2x + 3y = 6 Quadratic y = ax 2 +
Finding the Equation of a Quadratic Function. You need your scatterplot notes! When we found the equation of a line of a set of points in a scatterplot,
Lines of Best Fit When data show a correlation, you can estimate and draw a line of best fit that approximates a trend for a set of data and use it to.
9-7 Linear, Quadratic, and Exponential Models. Linear, Quadratic, & Exponential Review.
Graphing Functions Mr.Kaslavage Grade 11 trig Mathematics.
Scatter Plots & Lines of Best Fit To graph and interpret pts on a scatter plot To draw & write equations of best fit lines.
DAY 7: SPRING 2016 EXCEL Rahul Kavi February 2,
Calculate the concentration of the unknown sample. The concentration of the standard is 100μg/ml.
Fitting Equations to Data Chapter 7. Problems Classwork: 7.1, 7.8, 7.13, 7.22 Homework: 7.2, 7.9, 7.16, 7.23, 7.28.
Fitting Equations to Data
Fitting Exponentials and Polynomials to Data
5.7 – Curve Fitting with Quadratic Models
Topics: Be able to writes equations of Linear Functions from numerical representations. Be able to writes equations of Absolute Value Functions from numerical.
Lines of Best Fit When data show a correlation, you can estimate and draw a line of best fit that approximates a trend for a set of data and use it to.
Population (millions)
Lesson 9-4 Linear, Quadratic, and Exponential Models
Topics: Be able to writes equations of Linear Functions from numerical representations. Be able to writes equations of Absolute Value Functions from numerical.
Linear Equations Y X y = x + 2 X Y Y = 0 Y =1 Y = 2 Y = 3 Y = (0) + 2 Y = 2 1 Y = (1) + 2 Y = 3 2 Y = (2) + 2 Y = 4 X.
Topics: Be able to writes equations of Linear Functions from numerical representations. Be able to writes equations of Absolute Value Functions from numerical.
3.5 Solving Nonlinear Systems
Comparing Linear, Exponential, and Quadratic Functions.
Choosing a Model ALGEBRA 1 LESSON 8-5
Solutions of Linear Functions
Objectives Compare linear, quadratic, and exponential models.
Help with Excel Graphs CHM 2046L.
Solve each quadratic using whatever method you choose!
Compare Linear, Exponential, and Quadratic Models
1.) What is the value of the discriminant?
Presentation transcript:

Assignment Read course PowerPoint file: MBD 2 Proj1.pptx (Slides 21-34)

Trend Lines Uses historical data Find an equation that fits data Graph data and add a trend line Graph data using XY (scatter) Select “Scatter with only markers” graph

Trend Lines Graph should be a collection of points Right click on any point Select “Add Trendline” Select type of trend line

Trend Lines

Different options - Type of trend line - Name of trend line - Forecast forward and backward - Display equation - Display R-squared value (close to 1)

Trend Lines Ex. Suppose the number of students at the University of Arizona since 1990 is given by the following table. Fit several trend lines to the data. Use each trend line to predict the number of students in the years 2004 and Years since 1990Students at UA 024, , , , , ,653

Trend Lines Linear: Approx. 46,956 students in 2004 Approx. 73,756 students in 2020

Trend Lines Quadratic: Approx. 49,976 students in 2004 Approx. 100,478 students in 2020

Trend Lines Exponential: Approx. 50,493 students in 2004 Approx. 117,710 students in 2020

Trend Lines Using forecasting as a predictor

Trend Lines Questions to consider: What trend line(s) should you use if you are not told? Are estimates using trend lines reliable?