wanted to include in my multiple regression. I included strikeouts per nine innings (K9), walks per 9 innings (W9), if the pitcher through a complete game (CG), hits per nine innings (H9), and WHIP. WHIP is a statistical measure to determine how many runners get on base versus a pitcher, a lower WHIP is good. The variable complete games, is being used as a dummy variable, either a pitcher pitched a complete game in the season or they did not. I ran a multiple regression on ERA using the five…
Stationarity Check: Regression of a non-stationary time-series variable may cause a spurious regression or non-sense regression (a symptom of spurious regression is that the R-square value is greater that Durbin-Watson test statistics) which is not desirable. After estimating the first regression, the R-square value is 0.99 while the Durbin-Watson statistic is 0.86. So if I continue with the data without correcting for non-stationarity, my estimated model will be a spurious regression model. I…
The OSA group had significantly more microvascular burden (e.g., MRI signal hyperintensities) compared to the non-OSA group (see Table 3). In logistic regression analyses, the combined effects of each baseline cognitive performance and each C-SVD measure improve predictive accuracy of having OSA. However, only the volume of white matter hyperintensities significantly contributes to the prediction. The odds…
Past life regression is the process of going back in time to one's previous existence, while under hypnosis. Past life regression, also known as PLR fist became known in the case of Bridley Murphy in 1952. Virginia Tighe while under hypnosis reported a vision of a 19th century Irish woman named Bridley Murphy. Further investigations still have not determined if there ever was a 19th century Irish woman named Bridley Murphy. It is fact however, that Ms. Tighe as a child lived across the street…
The regression analysis is used to determine the relationship between Y variables (independent variable) such as a number of employees and X variable (dependent variable) such as service delivery by actually measuring the relationship that existed in the past…
Genetic parameters were estimated using B-spline functions in random regression models for weight of Large White pigs measured between the 3rd and 36th week of age. The model accounted for contemporary groups, parity and sex as fixed effects while random effects modelled were; animal genetic effect, permanent environmental effect and maternal genetic effect along with heterogeneous residual variances. Heritability estimates decreased with age from 0.37 at 3 weeks to 0.27 at 36 weeks. Weight…
variables or not. After calculating the regression analysis, it shows that there is a no correlation because there is no ways of determining from the scatter plot that there is a pattern rising or falling. There is no evidence that our independent variable, the ages of the patients, is correlated to the dependent variable, number of visits the patient has had in a year. My regression equation (Exhibit 5): y = 4.714 + 0.049⋅x based on the original regression formula: y = a + b⋅x. In terms of…
Computations and Interpretation Mean = 7.02. After analyzing the scores of my population, I found that the mean average was 7.02 out of 10. This implies that the average student earned a “C” or 70% in the quiz. If I remove the outlier that consists of 0 out of 10 I believe that the average score would increase to a more meaningful average score. Median = 7. The median depicts how the center of all scores achieved was a “C”. The median may be a score or average of two, that is the farthest…
Despite the rise of feminism in the 1960’s ERA still didn’t have enough support. In 1972 ERA was passed in Congress and was sent to the states for its ratification. In the end ERA was three states short from being ratified. As opposition to it grew during its ratification period ERA lost momentum (Radek, 2006). Even in the 1980s after the ratification period ended more opposition increased. Opposition to the Equal Rights Amendment It seems ridiculous for the U.S not to grant equal rights to…
Method Participants Data were collected from 50 school-aged children, between the ages of 10 through 11 years of age, who had been previously diagnosed with ADHD by a clinician (25 girls, 25 boys) from fifth grade classrooms across five schools in the New York City urban public school district. The families of the participants had all requested diagnostic evaluations from their clinicians that explained the participants’ diagnosis of ADHD. The participants were all born in New York City and…