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Essay Available:
Pages:
4 pages/≈1100 words
Sources:
Check Instructions
Level:
APA
Subject:
Mathematics & Economics
Type:
Statistics Project
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
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Topic:

# Regression Analysis Project. Regression Report: Price, Cost, Revenue, and Profit (Statistics Project Sample)

Instructions:

I have some data resource need to share but not able to upload on this page, so please let writer contact me and I can email the additional resource to writer.
1. constructing a regression functions for a given data sets;
2. using the regression function to create mathematical models;
3. interpret various aspects of the models;
4. use the models to predict values at missing data points;
5. analyze whether this prediction can be trusted.
we are using Desmos, here are two video from my professor about Desmos https://www(dot)youtube(dot)com/watch?v=WugtrDs482Q
I actually haven't go through in detail about requirement, but as long as you answer and cover all the questions for each part, that should be fine.

source..
Content:

Regression Report: Price, Cost, Revenue, and Profit
Student’s Name
Institutional Affiliation
Regression Report: Price, Cost, Revenue, and Profit
Price
Usually, a regression function for price is P(x) = m x + b. For this report, the regression function for price and demand as the dependent and independent variable respectively was Price(x) = - 0.92121(x) + 154.86667. X was the number of widgets in terms of demand for annual widgets.
On a scatterplot, the data fitted using the regression line was plotted, as shown below.
Agreeably, the regression line (red) modeled the data well because most of the data points fall along with it. The regression equation was used to estimate price at P (0), P (35), and P (105). The prices, \$153.94546, \$122.62432, and \$58.13962 were obtained for 0, 35 and 105 widgets. The value of x that would make P (x) = 0 would be 168.11223282422 widgets.

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