Given the information, find the equation for the least squares line as well as the correlation coefficient. n = 8,  x = 40,     y = 48,     xy = 240,     x2 = 210,     y2 = 288 What does y = What does r =

The following table gives the gold medal times for every other Summer Olympics for the women’s 100-meter freestyle (swimming). a.Decide which variable should be the independent variable and which should be the dependent variable. b. Draw a scatter plot of the data. c. Does it appear from inspection that there is a relationship between the variables? Why or why not? d. Calculate the least squares line. Put the equation in the form of: ŷ = a + bx. e. Find the correlation coefficient. Is the decrease in times significant? f. Find the estimated gold medal time for 1932. Find the estimated time for 1984. g. Why are the answers from part f different from the chart values? h. Does it appear that a line is the best way to fit the data? Why or why not? i. Use the least-squares line to estimate the gold medal time for the next Summer Olympics. Do you think that your answer is reasonable? Why or why not?

An bus station has determined that the relationship between the number of passengers on a bus and the total weight of luggage stored in the baggage compartment can be estimated by the least squares regression equation y=115+24xy=115+24x. Predict the weight of luggage for a flight with 60 passengers. Answer:  pounds   Speak

A lab received a new instrument to measure pH. To compare the new instrument to the old lab instrument, 11 samples were measured with both pieces of equipment. Using the data (below), find the least squares equation (x = "pH old" and Y = "pH new") and then predict the value on the new instrument if the old instrument gave a pH of 6.30. Enter your answer using 3 significant digits. pH Old pH New 6.35 6.16 6.01 5.95 6.15 6.05 6 6.01 6.11 6.06 5.93 5.83 5.84 5.81 5.63 5.71 5.63 5.74 6.11 6.1 6.07 6.01

FAL The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.959x + 15.575. Find the coefficient of determination and interpret the result. Money raised, x Money spent, y 472.7 446.1 652.5 681.3 742.1 747.2 Find the coefficient of determination and interpret the result. 2 (Round to three decimal places as needed.) 785.7 779.4 1025.2 954.5 1207.4 1008.1 933.1 1165.1 769.1 725.3

Can you please tell also the test statistics and if the weight is close to 518 pounds?

Indicate that they are qualitative and quantitative data, give 2 specific examples and indicate when it is used in each case.

Based on data taken from airline fares and distances One of the flights was 350 miles and its residual was - flown, it is determined that the equation of the least- 105.00. What was the fare for this flight? squares regression line is ŷ = 102.50+ 0.65x, where y is the predicted fare and x is the distance, in miles. $102.50 $435.00 $225.00 $330.00

For 50 students of a class the regression equation of marks in Statistics (X) on marks in Accountancy (Y) is 3Y – 5X + 180 = 0. The mean marks in of Accountancy is 50 and variance of marks in statistics is of the variance of marks in Accountancy. Find the mean marks in statistics and the coefficient of correlation between marks in the two subjects when the variance of Y is 25.

Help please!