A nonprofit analyst seeks to determine which variables should be used to predict nonprofit charitable commitment, defined as a nonprofit's dedication to its charitable purpose. Two independent variables under consideration are:- **Revenue ($X_1$)**: Total revenue, in billions of dollars, representing the measure of nonprofit size.- **Efficiency ($X_2$)**: The percentage of private donations remaining after fundraising expenses, representing the measure of nonprofit fundraising efficiency.The dependent variable $Y$ is **Commitment**, which is a measure of the percentage of total expenses allocated directly to charitable services. Both variables $X_2$ and $Y$ are expressed as percentages. Data were collected from a random sample of 99 nonprofit organizations.The analysis includes a table of results which presents the following data for the regression analysis:### Table of Results| Variable | Coefficients | Standard Error | T Statistic | p-Value ||--------------|--------------|----------------|-------------|---------|| Intercept | 10.884592 | 7.120425 | 1.53 | 0.1296 || Revenue | 0.6979138 | 0.321499 | 2.17 | 0.0324 || Efficiency | 0.8470845 | 0.077161 | 10.98 | <0.0001 |#### Task:a. State the multiple regression equation.The regression equation can be expressed as:\[\hat{Y_i} = 10.88 + 0.70X_{1i} + 0.85X_{2i}\](Round to two decimal places as needed.)

It is given that The independent variables are X1 = Revenue X2 = Efficiency

Answered: a. State the multiple regression…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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a. State the multiple regression equation. ₁ =+ x₁ + x2i (Round to two decimal places as needed.)