Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Regression Analysis and Hypothesis Testing in Calculus I, Lecture notes of Biology

Instructions for a calculus i project that involves estimating a demand function using regression analysis and assessing the statistical significance of the coefficients using t-statistics. The project requires students to perform various steps, including setting up the regression model, interpreting the regression coefficients, and determining the statistical significance of the coefficients. Likely intended for students enrolled in a calculus i course for the natural sciences at wilfrid laurier university. The project aims to help students develop skills in regression analysis, hypothesis testing, and the application of calculus concepts to real-world problems in the natural sciences.

Typology: Lecture notes

2023/2024

Uploaded on 10/24/2024

hugger
hugger 🇺🇸

4.7

(11)

923 documents

1 / 1

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Regression Analysis for
Estimating Demand Function
Estimating the Demand Function using
Regression Analysis
Regression Analysis
Start Excel and open the Data worksheet.
Select the Data Analysis in the Analyze group of the Data tab of the
Ribbon. If the Data Analysis add-in is not available, you will need to add
it.
Select Regression and click OK.
In the Regression dialog box:
Select cells A1:A13 as the Input Y Range (the dependent variable).
Select cells B1:C13 as the Input X Range (the independent variables).
Check the Labels box to indicate that the first row contains column
labels.
Do not check any additional boxes.
Choose cell E1 on the Data worksheet as the Output Range.
Click OK.
Estimated Demand Function
In cells E7, G7, and J7, enter the coefficients of the estimated demand
function using cell references to the values obtained on the Data
worksheet.
Statistical Significance
In cell L10, enter the value of the t-statistic for the coefficient of P
using a cell reference and the Excel ABS function.
In cells C11 and H11, determine whether the absolute value of the t-
statistic for the coefficient of P is greater than the critical value and
whether the coefficient is significantly different from zero.
In cell L12, enter the value of the t-statistic for the coefficient of P0
using cell references and the Excel ABS function.
In cells C13 and H13, determine whether the absolute value of the t-
statistic for the coefficient of P0 is greater than the critical value and
whether the coefficient is significantly different from zero.
R-squared
In cell E16, enter the value of the R-squared using a cell reference.
Close the workbook and then exit Excel.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
1.
1.
2.
3.
4.
1.
2.

Partial preview of the text

Download Regression Analysis and Hypothesis Testing in Calculus I and more Lecture notes Biology in PDF only on Docsity!

Regression Analysis for

Estimating Demand Function

Estimating the Demand Function using

Regression Analysis

Regression Analysis

Start Excel and open the Data worksheet. Select the Data Analysis in the Analyze group of the Data tab of the Ribbon. If the Data Analysis add-in is not available, you will need to add it. Select Regression and click OK. In the Regression dialog box: Select cells A1:A13 as the Input Y Range (the dependent variable). Select cells B1:C13 as the Input X Range (the independent variables). Check the Labels box to indicate that the first row contains column labels. Do not check any additional boxes. Choose cell E1 on the Data worksheet as the Output Range. Click OK.

Estimated Demand Function

In cells E7, G7, and J7, enter the coefficients of the estimated demand function using cell references to the values obtained on the Data worksheet.

Statistical Significance

In cell L10, enter the value of the t-statistic for the coefficient of P using a cell reference and the Excel ABS function. In cells C11 and H11, determine whether the absolute value of the t- statistic for the coefficient of P is greater than the critical value and whether the coefficient is significantly different from zero. In cell L12, enter the value of the t-statistic for the coefficient of P using cell references and the Excel ABS function. In cells C13 and H13, determine whether the absolute value of the t- statistic for the coefficient of P0 is greater than the critical value and whether the coefficient is significantly different from zero.

R-squared

In cell E16, enter the value of the R-squared using a cell reference.

Close the workbook and then exit Excel.