A recent article in an educational research journal reports a correlation of +0.8 between math achievement and overall math aptitude.It also reports a correlation of -0.8 between math achievement and a math anxiety test.Which of the following interpretations is the most correct?The correlation of +0.8 is just as strong as the correlation of -0.8.The negative correlation is an error.O t is impossible to tell which correlation is stronger.O The correlation of +0.8 indicates a stronger relationship than the correlation of -0.8.

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Answered: A recent article in an educational…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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time in studying, the higher is their academic performance. O b. There isa strong negative correlation between the number of hours spent by the learners in studying and their academic performance. As a learner spends more time in studying, the lower is their academic performance. O c. There is a perfect correlation between the number of hours spent by the learners in studying and their academic performance. As a learner spends more time in studying, the higher is their academic performance. O d. There is no correlation between the number of hours spent by the learners in studying and their academic performance. From the study "Increasing Mathematics Achievement through Contextualized and Localized Materials in Distance Learning", which of the following statement/s are true about its dependent and independent variables? I. Mathematics achievement is the dependent variable
You calculate a correlation coefficient of -0.8 for the two characteristics of eating a particular fruit and having a particular level of blood cholesterol. What can you conclude? There is not enough information in this question to provide an answer. The more of this fruit you eat, the lower your blood cholesterol will be. There is no correlation between eating this fruit and having a particular level of blood cholesterol. The more of this fruit you eat, the higher your blood cholesterol will be. There is a correlation between eating this fruit and having a particular blood cholesterol, but the value of 0.8 is too low to draw any conclusions.
A hospital found that a lower outside temperature indicates a higher number of patient visits. What can we determine from this information? There is no correlation between outside temperature and number of patient visits. There is a correlation between outside temperature and number of patient visits. However, there is no causation. This is because there is an increase in the number of patient visits with a decrease in the temperature outside. There is a correlation between outside temperature and number of patient visits. There may or may not be causation. Further studies would have to be done to determine this.
Ten children took part in a study at their dentist’s office. The dentist collected data on how many pieces of candy the children ate after Halloween and the number of cavities six months later. A correlation was conducted between pieces of candy consumed after Halloween and number of new cavities after Halloween. The Pearson correlation was .892, with p < .001. What can you conclude about the relationship between pieces of candy consumed after Halloween and the number of new cavities after Halloween? Be sure to state your statistics in APA style
Dr. Wright, a researcher at the Young County Botany Institute, reported the following correlations. The correlation between pH level of soil and tomato weight is r₁ = 0.8. The correlation between hours of sunlight and tomato weight is r2 = 0.7. According to this information, which of the following statements are true? Select all that apply. ✓Larger tomatoes result from more daily hours of sunlight. Larger tomatoes result from lower soil pH level. ✔Tomato size is related more strongly to hours of sunlight than to soil pH level. None of these are true.
ab! ourses The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 13.6 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 13.6 cm, what is the single value that is the best predicted height for that person? "se Hom E Click the icon to view the technology output. abus The single value that is the best predicted height is cm. endar (Round to the nearest whole number as needed.) entation ktbook a-F on unouncem ssignment: cudy Plan radebook Hydrogen Report.pdf Enter your answer in the answer box. Screen Shot 20-11...9.53 P 5,981 10 tv MacBook Pro (5
A survey was taken in 2018 that asked people about their saving habits. Researchers wanted to know if people who saved more also spent less. The scatterplot below shows their results when comparing two variables: the amount people reported that they put into savings each month, and the amount they reported that they spent on clothes. The researchers found the correlation coefficient for this data to be -0.239. Which of the following is true about these variables? a. There is no relationship between savings and money spent on clothes each month.b. There is a weak, positive linear relationship between savings and money spent on clothes each month.c. There is a perfect, negative linear relationship between savings and money spent on clothes each month.d. There is a weak, negative linear relationship between savings and money spent on clothes each month.
Would A be the answer?
A history instructor has given the same pretest and the same final examination each semester. he is interested in determining if there is a relationship between the scores of the two tests. he computes the linear correlation coefficient and notes that it is 1.15. what does the correlation coefficient value tells the instructor? a. there is a strong positive correlation between the test b. there is a strong negative correlation between the test c. the history instructor has made a computational error d. the correlation is something other than linear
A student noticed that when she gets less than 8 hours of sleep at night, she scores lower on her test grades. Can one conclude that this positive correlation shows a causal relationship? OYes, because it is well known that less sleep lowers test scores OYes, because it is not a negative correlation O No, because all students get less than 8 hours of sleep at night No, because it is possible that the student gets lower test grades because of another factor, such as not studying
2. A researcher measures the relationship between temperature and freeway traffic, with a correlation of -0.61. We would say this relationship is: Negative and Moderate Negative and Strong Positive and Moderate Positive and Weak O o o O
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