We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.
Nobody downloaded yet

Interpretation of Regression Results - Essay Example

Comments (0) Cite this document
Summary
The multiple regression analysis has not only highlighted the relationship between the dependent and independent variables but it has also explained the extent to which these variables are…
Download paper
GRAB THE BEST PAPER
Interpretation of Regression Results
Read TextPreview

Extract of sample
Interpretation of Regression Results

For the hypothesis to be true, the signs of the coefficients are expected to be positive. The positive coefficient signs would indicate the positive relationship between the independent variables (temperature, humidity, wind and dummy variables) and the dependent variable (bundled load).
Coefficients: The signs of all coefficients of variables are positive whereas, that of intercept is negative. The negative value of coefficient of intercept means that the regression line intersects with Y-axis below zero. The positive signs and significant values of coefficients reflect a positive relation between the dependent and independent variables. The value of coefficient of temperature is 47.64. It means that if temperature or x1 variable increases by 1 degree Fahrenheit, the bundled load will increase by 47.64 Megawatt/hour provided all other variables are constant. If humidity increases by 1 percent, the bundled load will increase by 11.52 Megawatt/hour. Similarly, if wind speed increases by 1 mph, the bundled load will increase by 10.15 Megawatt/hour. Moreover, the coefficient of dummy1 is zero, showing no relation between the dummy1 and bundled load whereas; the coefficient of dummy2 is 49.73, showing a positive relation between dummy2 and bundled load.
The standard error shows the amount of variability of the data points around the regression line and in this regression analysis, the standard errors for all the variables is very small. The small values of the standard errors show that the data points are closely distributed around the regression line.
The value of p is greater than 0.05 for three independent variables including temperature, humidity and wind speed. However, for the dummy1, it is zero and for dummy2, it is less than 0.05. If the p-values for all the variables would have been equal or less than 0.0, then the null ... Read More
Cite this document
  • APA
  • MLA
  • CHICAGO
(“Interpretation of Regression Results Essay Example | Topics and Well Written Essays - 1250 words”, n.d.)
Retrieved from https://studentshare.net/miscellaneous/382868-interpretation-of-regression-results
(Interpretation of Regression Results Essay Example | Topics and Well Written Essays - 1250 Words)
https://studentshare.net/miscellaneous/382868-interpretation-of-regression-results.
“Interpretation of Regression Results Essay Example | Topics and Well Written Essays - 1250 Words”, n.d. https://studentshare.net/miscellaneous/382868-interpretation-of-regression-results.
  • Cited: 0 times
Comments (0)
Click to create a comment
CHECK THESE SAMPLES - THEY ALSO FIT YOUR TOPIC
Multiple Regression
We seek to gain an understanding of what socio-economic characteristics of a particular state make it more susceptible to a larger number of property crimes. Data and methodology By using multiple regression analysis, the report is in pursuit of obtaining statistical evidence for or against commonly held beliefs regarding causality of various factors and crime.
6 Pages(1500 words)Essay
Statistical Inference and Regression
Statistics can as well be considered as a mathematical body that pertains to the collecting, analyzing, interpretation, and presenting of data. Because of having empirical roots with the focus on applications, it is also considered as a distinct mathematical science but not just a branch of mathematics.
10 Pages(2500 words)Essay
Description of Step-Wise Multiple Regression statistic test
Introduction Stepwise regression is a partial-automated process of constructing a model by sequentially including or eliminating variables based only on the t-statistics values of their predicted coefficients. It is specifically functional for straining through large amounts of possible independent variables and/or calibrating a model by thrusting variables in or out.
10 Pages(2500 words)Essay
Credit Risk Analysis - Application of Logistic Regression
It is similar to a linear regression model but is suited to models where the dependent variable is dichotomous. Logistic regression coefficients can be used to estimate odds ratios for each of the independent variables in the model.” In order to run binary logistic regression model to find out the dependence of various variables on Credit Risk, the following steps are taken: 1.
7 Pages(1750 words)Essay
Multiple regression model
The real house price is the price of the house adjusted for inflation; it is usually lower than the nominal house prices. Several factors are responsible for the decline or rising of the real housing prices. Among these factors are: population, GDP, unemployment and interest rates.
7 Pages(1750 words)Essay
Linear Regression Exercises
For instance, when the number of hours worked increase so does the income. The correlation between the variables was moderate and positive, r = 0.3, If r is close to 0, it implies that there is less or no relationship between the variables (Bryman and Cramer, 1990).
5 Pages(1250 words)Essay
Multiple Regression
It measures the strength of association and varies between 0 and 1. It signifies the proportion of the total variation in Y that is accounted for by the variation in X Adjusted R square is the coefficient of multiple determination is adjusted for the number of independent variables and the sample size to account for diminishing returns After first few variables the additional independent variables do not make much contribution to the dependent variable.
10 Pages(2500 words)Essay
Analysis of Saudi Mutual Funds Regression Results
Among the twelve benchmarks used for the performance evaluation exercise, results from the regression analysis conducted indicate that eight are statistically
3 Pages(750 words)Speech or Presentation
Social Anxiety Report - Linear Regression
s such as age, gender, own relationship, friends, social media, grade number, grade score, rural/urban background, number of siblings and parent relationship status. The study revealed that not all these factors have linear relationship with social anxiety score. Some factors
5 Pages(1250 words)Essay
Interpretation
Cosmopolitanism, according to the reading, implies the idea that human beings, Japanese in this scenario, originated from a common
2 Pages(500 words)Essay
Let us find you another Essay on topic Interpretation of Regression Results for FREE!
Contact us:
+16312120006
Contact Us Now
FREE Mobile Apps:
  • About StudentShare
  • Testimonials
  • FAQ
  • Blog
  • Free Essays
  • New Essays
  • Essays
  • The Newest Essay Topics
  • Index samples by all dates
Join us:
Contact Us