A study of connsumer behavior finds positive correlation between sales of ice-cream and salea of soda. what might explain the
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A study of connsumer behavior finds
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- 36 Which is the strongest (highest) r correlation: -0.9000 -0.6000 -0.3000 0.4500An educational psychologist wants to examine the relationship between the type of instruction (online/face-to-face) and the stress levels of college students. Which statistic should the psychologist use? A: Point biserial correlation B: Chi-squared C: Spearman's rho D: Pearson correlationSuppose a researcher is interested in examining the relationship between a person 's age and whether he or she likes the taste of cilantro. She collects a sample of n- 10 people and asks them whether they like the taste of cilantro. The following table summarizes the results. Does not like Cilantro Does like Cilantro 18 years old 2 18+ years old 3 The researcher wants to calculate the correlation between a person 's age and whether he or she likes the taste of cilantro. To do so, you (the researcher) must first create a table of the data by converting each variable to a numerical value. Assign a 0 to "< 18 years old" and 1 to "18+ years old." Then assign O to "does not like the taste of cilantro" and a 1 to " likes the taste of cilantro." Complete the top two rows of the your (the researcher's) data. Age (0 is <18; 1 is 18+) Likes the taste of Cilantro (0 is no; 1 is yes) a) ob) 1 a) Ob) 1 a) ob) 1 a) Ob) 1 1 1 1 1 1 1 1 The phi-coefficient is a) -0.09 b) -0.16 c) -0.20 d) 0.80
- 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.Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights Correlation Results of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Correlation coeff, r: 0.969467 Critical r: +0.2680855 P-value (two tailed): 0.000 ..... Determine the null and alternative hypotheses. Ho: P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) A. There are two critical values at r= + В. There is one critical value at r= Is there sufficient evidence to support the…Please explain
- A study was done asking people how much money they spend per month on their natural gas bill and how much money per month they spend on their electric bill. The correlation r was found to be 0.94 and the p- value for correlation was 0.0003. Then a person with a high natural gas bill will also have a high electric bill. O true falseSuppose that you are interested in the relationship between Reading and Writing scores. (a) Provide the scatterplot for the association between Reading and Writing scores. Based on the scatterplot, do you expect Reading to be correlated with Writing? If so, based only on the plot, would you expect the correlation to be positive or negative? Explain your answer. (b) Report the value of the correlation between Reading and Writing scores, and whether it is statistically significant. Do these results agree with your expectations from part (a)? RDG WRTG 34 44 47 36 42 59 39 41 36 49 50 46 63 65 44 52 47 41 44 50 50 62 44 41 47 40 42 59 42 41 47 41 60 65 39 49 57 54 73 65 47 46 39 44 35 39 39 41 48 49 31 41 52 63 47 54 36 44 47 44 34 46 52 57 42 40 37 44 44 33 71 58 47 46 42 33 42 36 47 41 52 54 52 54 39 39 31 41 60 54 47 31 39 28 42 36 47 57 42 49 36 41 50 33 34 34 55 55 28 46…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
- Q2For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of twelve types of automobile, the linear correlation coefficient is found and the P-value is 0.009. Write a statement that interprets the P-value and includes a conclusion about linear correlation.at the 0.05 significance level, does the data below show significant correlation. x is 3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18, y is 19.07, 25.46, 26.95,34.34,24.73,28.82,35.71,43.6,35.19,41.48,49.07,53.46,52.05,53.64,51.43,63.92. yes, significant correlation or no.
