Regression

who smokes, we would expect the birth weight, to be less than that of a child from a non-smoking mother. For a mother who smokes, we would expect the gestation period to be longer than that of non-smoking mothers. For the equation of least squares regression and the line of best fit for the for the birth weight and gestation period of a smoking mother there was a strong positive linear relationship and for the birth weight and gestation period of a non-smoking mother there was a strong positive…

This section deals with results of truncated regression model estimating the determinants of intensity of teff commercialization that was measured in the ratio of teff sold to teff produced expressed as percentage. Here all farm households who were participated in teff market as sellers are considered since the objective was to identify what factors determine a household to sell more or less proportion of their teff product. The model was statistically significant at 1% level indicating the…

Firstly, comparisons are made between the schools above and below the SBP thresholds across states. This is done with the use of data obtained from the National Assessment of Educational Progress (NAEP). Secondly, there is some use of regression data which is utilised to assess the cognitive achievement of children. This is where the students entitled to free and reduced-price (FRP) meals fall just under the required threshold compared to those in schools just above it. The findings obtained…

Introduction: Since the founding of the United States of America as a republic in 1776, the country has constantly taken steps to further civil liberties, and exemplify not only a military and political hegemon, but also a moral one. From abolishing slavery to eradicating the Jim Crow laws to the Civil rights Movement, the country has lived up to its Constitution and founding values such liberty and the pursuit of happiness. However, movements such as Black Lives Matter demonstrate how the Black…

rises to $3 per gallon in seven years. Historical Analogy helps companies to forecast the life cycles of new product or services. An example could be predicting the market penetration of newly launched 4D TV based on historical data of 3D TV. The Regression Model is a quantitative method that finds explanatory factors of an event. A daily example would be to forecast the future economic growth of our country by selecting numbers of independent variables, such as oil price (x) that can contribute…

Social media has become the ultimate form of communication since the Internet’s humble beginnings. They come in many shapes, sizes, and colors, all designed to attract every millennial they can get their hands on. Numerous research has supported on how social media has been proven to have addictive and distracting qualities, especially within the population of university students. A sample survey revealed that 90% out of 3,000 students sampled from across the U.S. used Facebook, whereas 37% used…

. Which inferential statistics would you choose for the following sets of variables? Explain your answers (refer to Figure 17.5 on page 384 in Polit & Beck). A. Variable 1 represents the weights of 100 patients; variable 2 is the patients’ resting heart rate. a. The inferential statistics utilized in this analysis is the Wilcoxon signed-rank test, the nonparametric two-group study involves two measurable (paired scores) one being the patients weight and the other resting heart…

Explain TABLE REGRESSION Table 4.9: Result of simple linear regression between level and ovitrap index Variable SLR Level b (95% CI) p-value -2.5 (-7.7, 2.9) 0.236 R2 = 0.421. The model not fit well: Model assumption are not met There is statistically no significant linear relationship between level and ovitrap index (p= 0.236). The increase of the multi –storey house level is not associated with the ovitrap index level. With level, the model explains 42% of variation of the ovitrap…

Reflecting back on this class from the beginning, I honestly thought that I was going to dread it. I don’t know why? But I can honestly state that I have gained so much knowledge from this class that I can apply in real life scenario’s, not only in my career but also for personal use and experience. Quantitative analysis can give an outlook for business operations a whole new look and could help maximize there business objectives. The theory behind all of this is to help business with their…

data comes from a random sample collected from the Waitutu Forest during 2001-2008. By looking at this graph, I can see that there appears to be a clear linear trend with a positive relationship. Therefore, it would be sensible to use a linear regression model to investigate the relationship. This shows that as the height of the saplings increases, so does the diameter of the saplings at breast height. The rate of increase is not consistent, and the spread of the data increases as the…