What is the lower bound of the population correlation coefficient (rho) calculated from the data in personalities.xls?

The owner of a chain of fruit shakes stores would like to study the correlation between atmospheric temperature and sales during the summer season. A random sample of 12 days is selected with the results given as follows:   Day 1 2 3 4 5 6 7 8 9 10 11 12 Temperature in (F) 79 76 78 84 90 83 93 94 97 85 88 82 Total Sales(Units) 147 143 147 168 206 155 192 211 209 187 200 150   Does it appear there is a relationship between atmospheric temperature and sales at .05 level of significance.

1.) The data in the table below show years of teaching experience and annual salary in dollars for 12 randomly selected mathematics instructors in Illinois colleges/ universities for the 2013/2014 school year. Is there a linear correlation between a mathematics instructor’s years of experience and his or her annual salary?  Number of Years 7 9 6 7 11 12 11 3 3 7 9 1 Salary (in Dollars) $48,897.00 $62,866.00 $54,585.00 $56,611.00 $53,541.00 $53,541.00 $47,027.00 $47,970.00 $46,668.00 $48,029.00 $46,735.00 $45,000.00  THE OTHER QUESTION 2.) Does incubation or gestation time affect an animal’s average lifespan? Some animals have lifespans that average well over 100 years. The following table lists animals that have some of the longest lifespans on the earth. Is there a correlation between an animal’s gestation/incubation period and its average lifespan in years?  Animal: Nile crocodile, Aldabra giant tortoise, Lake sturgeon, Galápagos tortoise, Bowhead whale Average Lifespan (in…

What is the relationship between the attendance at a major league ball game and the total number of runs scored? Attendance figures (in thousands) and the runs scored for 9 randomly selected games are shown below.   Attendance 24 54 59 17 32 58 30 26 18 Runs 5 14 14 5 7 8 10 6 4   Find the correlation coefficient:  r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are:`H0: `      == 0`Ha:`       ≠≠ 0    The p-value is:    (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that a game with higher attendance will have fewer runs scored than a game with lower attendance. There is statistically significant evidence to conclude that there is a correlation between the attendance of baseball games and the runs scored. Thus, the regression line is useful. There is statistically insignificant…

A study of bone density on 5 random women at a hospital produced the following results. Age 37 45 49 57 65 Bone Density 350 340 335 325 320 step 1: Calculate the correlation coefficient, r. Round your answer to six decimal places. step 2: Calculate the correlation coefficient, r. Round to 3 decimal places. step 3: positive, negative, or no correlation

Which ONE of the following statements regarding 0.581 on the summary output is correct? Group of answer choices 0.581 is the correlation for TIP and PREDICTED-SALES AMOUNT. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and TIP. -0.581 (negative 0.581) is the correlation for TIP and PREDICTED-TIP. 0.581 is the correlation for TIP and PREDICTED-TIP. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and PREDICTED-TIP. 0.581 is the correlation for SALES AMOUNT and PREDICTED-SALES AMOUNT.

A sample contains 61 pairs of values. Find the critical value for the linear correlation coefficient from Table A-6 corresponding to a 0.05 significance level. A. 0.330 B. 0.236 C. 0.279 D. 0.254 ( don't hand writing solution)

For a data set of weights​ (pounds) and highway fuel consumption amounts​ (mpg) of five types of​ automobile, the linear correlation coefficient is found and the​ P-value is 0.033. Write a statement that interprets the​ P-value and includes a conclusion about linear correlation. The​ P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is nothing​%, which is ▼   high, low, so there ▼   is not is sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles.