Open the "Hоuse Prices" dаtа in StаtCrunch. We want tо test if Size (square feet) оf the house is positively correlated with the Price (thousands of dollars). Link a. Identify and Interpret the Slope in your linear equation. b. What is the r-value for this data? What does that tell you about the relationship between Size and Price? c. What is the estimate of standard error? Interpret it in a sentence. d. Use the equation of the regression line to make a prediction for the Price of a house that is 1600 square feet. e. Regardless if the data passed all the assumptions test the claim that Size and Price are positively correlated. State the null and alternative hypothesis. f. What is the Value of the test statistic and the p-value? Make a decision regarding the Null hypothesis using a 5% significance level. g. Write a conclusion addressing the claim.