10.2 practice edited 2

What percentage of the variation in  can be explained by the corresponding variations in  and  taken together?

calcium is essential to tree growth because it promotes the formation of wood maintains cell walls. in 1990, the concentration of calcium in precipitation in certain area was 0.11 milligrams per liter (mg/L). A random sample of 10 precipitation dates 2007 results in the following data table. complete parts (a) through (c) below H0 mean= 0.11 Ha mean not =0.11 data table 0.074 0.079 0.073 0.272 0.127 0.189 0.117 0.223 0.305 0.115 b. construct a 98% confidence interval about the sample mean concentration of calcium precipitation  the lower bound  the upper bound

Both arm circumference and BMI measurements have been used as screening tools for being underweight, overweight, or obese. We want to determine if there is a significant correlation between arm circumference (in centimeters or cm) and body mass index or BMI (in kg.m2) among 10 participants. The results of a correlation and regression analysis are indicated in the Excel output below. The mean arm circumference (the independent variable) was 35.2 cm, and the mean BMI (the dependent variable) was 30.7 kg.m2.   SUMMARY OUTPUT                         Regression Statistics           Multiple R 0.855646           R Square 0.732129           Adjusted R Square 0.698646           Standard Error 3.806088           Observations 10                         ANOVA               df SS MS F Significance F   Regression 1 316.7456 316.7456 21.86518 0.001590054   Residual 8 115.8904 14.4863       Total 9 432.636…

What percent of the variability in the response variable is explained by the explanatory variable? Is the relationship between the two variables significant or not? Show your work.

Rental revenue (in millions of dollars) 4. Can movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least- squares regression line for the data. The equation for this line is y=3.30 +0.15x. Theater revenue, X Rental revenue, y (in millions of dollars) (in millions of dollars) 61.1 16.5 44.8 6.1 个y 18- 36.8 12.1 16 61.4 9.6 14- 13.3 9.7 12- 25.8 9.0 10- ャ★ 20.2 4.6 X. 8 26.3 7.7 7.3 2.6 48.5 15.9 27.7 11.7 20 30 70 28.3 2.8 Theater revenue 66.3 10.1 (in millions of dollars) 29.9 6.3 22

Determine the critical r values and if the correlation is significant

Interpret this statistic. Why was gamma applicable here? Please show your work.

Effects of Preferences on Study Habits to the Academic Performance of Grade 11 students. What is the independent variable? * Effects Study Habits Academic Performance Grade 11 students Effects of Preferences on Study Habits to the Academic Performance of Grade 11 students. What is the dependent variable? Effects O Study Habits Academic Performance Grade 11 students Correlational Analysis on the Length of Study Period and the Academic Efficiency of Grade 12 students. What is the independent variable? Length of study period Academic efficiency Correlational Analysis if DV is length of study period IV is academic efficiency Correlational Analysis on the Length of Study Period and the Academic Efficiency of Grade 12 students. What is the dependent variable? * Length of study period Academic efficiency Correlational analysis if IV is length of study period, DV is academic efficiency Correlational Analysis between Mathematical Ability and Scientific Ability of Grade 12 students. What is the…

Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (x)251621529582722764268691436Cost(y) 251 35.6388.7383.7782.6699.86110.3253.8497.8374.68 a. A student calculates a linear model y=    x+    . (Please show your answers to two decimal places) b.Use the model to estimate the cost when number of pages is 207.Cost = $ (Please show your answer to 2 decimal places.)

The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables x1, x2, and x3, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals. Relative to its mean, which variable has the greatest spread of data values?

Only one can be chosen

Why is the equation of the regression line for this scatter plot ?

Let price denote a price index for the goods sold by a restaurant, advert the amount spent on advertising, sales the sales for the restaurant, and consider the following two regressions First regression: sales = B1 + B2price + B3price? + B4advert + ßsadvert? + e, Second regression: sales = B1 + B2price + B3price? + e We estimate both regressions using a sample of 105 observations. The sum of square residuals (E ê) from the first regression equals 50, while the sum of square Li=1 residuals from the second regression equals 70. Suppose we are interested in testing the null hypothesis that expected sales do not depend on advertising. What is the F- statistic for this null hypothesis? Recall the F-statistic is given by ((SSER - SSEU)/J)/(SSEy/(n – K)). O a. -15 O b. 42 Oc. 21 O d. 20 O e. All other options are incorrect.