Pearson product-moment correlation coefficient

cereal is called *name here*, and it is our job to determine the correlation between calories and potassium in order to make the new cereal “healthier” by lowering the calories but increasing potassium. We have researched the interrelationship between calories and potassium and this paper is a product of our analysis. We have compared data between the top fifteen cereals and have found that calories and potassium have a negative correlation. However this is only a coincidence as it is other factors, such

Ruisi et al, (2015) worked on 15 accessions of lentil during two years and stated that high variation existed among genotypes in terms of pheno-morphological and agronomic traits. In the present study, most (21.54%) and lowest (4.79%) values of the coefficient of variation of error was observed in biological yield and days to flowering, respectively. The mean of superior lines (Table 4) showed that a specific pure line with high values for all traits not found; but desirable pure lines in terms of phenological

Student ratings can provide teachers, administrators, and researchers with valuable information about the learning environment and instructional practice, and have become a critical component in policy efforts to assess and improve teaching. Seventeen states and many large municipalities including Chicago, Illinois, Memphis, Tennessee and Denver, Colorado include student ratings as a key component in formative and summative teacher evaluation plans (Partee, 2012). Several other states and municipalities

2013). Multitasking is commonly seen when a student is in lecture and being lectured to but also texting on their cell phone or online shopping all the while. This paper is research report, evaluating studies conducted on positive and negative correlations between multitasking while studying and the results seen in the student’s overall GPA. The current millennial generation is heavily impacted by the concept of multitasking. It is very common for students to have their phones out in class, if not

The results of the study done by Buchanan, J., O’Mara, J., Pistner, M., Young, K. were as follows; first, boredom was one of the factors identified by participant as being a major cause in dealing with their use of the internet.Secondly, symptoms of internet addiction found in this study were being engrossed with the internet, anxiety when not using internet, lying and covering up internet use, negative impacts on real-life functioning. The overuse of the internet can lead to depression or increased

up the skeleton of the international economy seems to have correlated variables. These variables seems to have been correlated with each other in numerous combinations and their correlation is what makes the market fluctuate. The volatility of the global market becomes more apparent in times of recession when the correlation between variables like stocks, bonds, US dollar, Euro, gold and oil becomes more apparent. Therefore, it is of paramount importance that these correlated variables should be studied

Introduction A major question addressed by this study was whether parenting style influences late adolescence life-skills development. Results indicate that the parenting dimensions of responsiveness, demandingness and psychological control influence late adolescence life-skills development both positively and negatively. Discussions Influence of Parental Responsiveness to Late Adolescent Life-Skills Development Parental responsiveness was weakly correlated with identity development (r=.28) and

classified according to the categories, counting sheets & the summary tables were prepared. Statistical tools used for data analysis: Excel software has been used for data analysis. I have covered- 1. Descriptive statistics have been applied 2. Correlation Analysis 3. Covariance Analysis 4. Regression Analysis CAUSAL RELATIONSHIP BETWEEN THE EXCHANGE RATES AND BANKING SECTOR STOCK PRICES: With the help of statistical data analysis we try to interpret the observation taking banking sector stock prices

diagram and compute a simple correlation coefficient to explore the relationship between the number of pages viewed and the amount ($) spent (use horizontal axis for the number of pages viewed). Correlations Analysis Step 1: Scatter Diagram: the amount ($) spent and the number of pages viewed Independent variable: Number of pages viewed Dependent variable: Amount Spent Step 2: Elaboration The Scatter diagram illustrate a strong positive linear correlation and a direct relationship

manipulate the data involve linear regression and correlation methods. The researchers chose linear regression and correlation techniques because the analysis involves a comparison of the degree of relationship between the assessments done by patients and the analysis of clinical officers (Price, 2014). Also, the analysis involved statistical elements such as phi-coefficients and Pearson's correlation coefficient, r. Pearson’s correlation coefficient has been used to test the linear relationship between