Explain the phrase 'Correlation is not Causation.' Give possible ex- planations for both a negative correlation and then for a positive correlation between the variables A and X discussed here.

A correlation coefficient provides two pieces of information about a relationship between two variables. These are -Strength; direction of relationship - Direction, proportions - Direction, which one causes which - Which one causes which, effect size.    READ FIRST: Show as much of your work in the text box below as possible, and include the rest in your scratch work. Scratch work supports what you write on this exam form. At the minimum, type your answers to each of the following 5 questions A-E in the text box - do not refer me to your scratch work for the answers. Do show your work (on the exam form or scratch work) for the calculations needed to answer B, so partial credit can be given in the case of a math error that throws off your calculations. The best way to do this is inside tables if possible. Total 10 15 You conduct a survey to find out whether talking on a cell phone during a romantic date bothers people. You want to find out if there is a gender difference on this issue,…

A zero correlation bewteen X and Y is least likely to occur if?

Can you help me out by showing me an example of a weak positive correlation scatter plot? with a relistic example that shows the two variables that demonstrate this pattern?

(5) The following data shows the gas prices from randomly selected gas stations from a certain city. Assume that the gas prices (in S) are normally distributed. 2.25 2.30 2.25 2.50 2.39 2.28 2.25 2.42 2.46 2.39 2.45 2.3 2.66 2.43 i) State the population parameter state above. ii) iii) Construct 97% confidence interval for the average gas price of this city, and interpret the confidence interval. Compute the margin of error?

An r value of .8 indicates a strong positive correlation.  True  False

Hello I need help with this one,  calculate the Pearson product-moment correlations between at least two sets of variables in the Happiness and Engagement Dataset. Perform one correlation between two dependent variables. Perform the second correlation on an independent variable and the dependent variable OR between a different set of two dependent variables  Calculate the Pearson product-moment correlations between the two sets of variables in your data set. Describe the correlations and their strength and direction.

True or False: If the correlation coefficient from two variables X and Y , the number of shark attacks and number of iced lemonade sales, respectively, is r= 0.98, we can conclude that an increase in iced lemonade sales causes an increase in shark attacks.

What does a correlation coefficient of 2​ indicate? There is a weak relationship between the two quantitative variables.  It indicates a calculation​ error, as the correlation coefficient cannot be 2. There is a strong relationship between the two quantitative variables. It indicates a​ non-linear relationship between the two quantitative variables. There is no linear relationship between the two quantitative variables.

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.