Sophia Intro to Statistics Milestone 4

An 37. Calculate coeff. of Q.D. and Bowley's coeff. of skewness from the data given below: Profits (Rs. lakh) No. of Cos. Less than 10 20 20 30 40 40 50 50 56 60 59 (MBA., HFU., 2011) 70 60

MI 44 D. The data below are the number of absences and the final grades of 9 randomly selected students from a statistics class. Calculate the correlation coefficient r 5 8 11 9 14 7 20 13 10 Number of absences, x Final Grade, y 96 84 78 80 69 90 53 74 80 O A. -0.888 O B. -0.918 O D. -0.899 59°F Clear ^ E Type here to search PrtS F8 F10 F1 F12 8. 3. 7. 5. 9. R A. H. B. N. Alt Alt

4. Question Draw and upload two datasets that have the same correlation coefficients but different slopes. Use the graphs below as a template for your submission. * (Sext |0, 0.5, Y'I, ext(0.5, e, x'}1 * (Pext10, 0.5. Y'i, Text(0.5. o, x') 1.0 1.0 0.8 - 0.8 0.6 0.6 0.4 - 0.4 0.2- 0.2 0.0 0.0 0.0 0.0 0.2 0.4 0.6 0.8 1.0 0.2 0.4 0.6 0.8 1.0 plot of chunk cor_slope

1:10 O b A O "Q. * a E (19 For numbers 1 to 3: The thermal condition in a cave is critical for sustaining a bat population. A sudden change in the temperature is related to deaths of bats in hundreds. An attempt to measure the degree of association between the temperature (in °C) and death toll (number of deaths) was done using 20 caves with reported cases of massive death among bats. Assume that temperature and death toll are bivariate normal. Given below is the R software output: > cor.test(temp , death) Pearson's product-moment correlation data: temp and death t - -1.4403, df - 148, p-value - 0.1519 alternative hypothesis: true correlation is not equal to e 95 percent confidence interval: -0.27269325 0.04351158 sample estimates: cor -0.1175698

Answer D E

6

The coefficient of correlation between X and Y is - and o? = a, o = 4a, and %3D %3D ož = 114 where Z = 3X – 4Y. Then the value of the constant a is

The following scatterplot shows the mean annual carbon dioxide (CO,) in parts (CO2) per million (ppm) measured at the top of a mountain and the mean annual air temperature over both land and sea across the globe, in degrees Celsius (C). Complete parts a through h on the right. f) View the accompanying scatterplot of the residuals vs. CO2. Does the scatterplot of the residuals vs. CO, show evidence of the violation of any assumptions behind the regression? 16.800 A. Yes, the outlier condition is violated. 16.725 O B. Yes, the linearity and equal variance assumptions are violated. 16.650 C. Yes, the equal variance assumption is violated. 16.575 O D. No, all assumptioris are okay. 16.500 O E. Yes, all the assumptions are violated. 325.0 337.5 350.0 362.5 CO2 (ppm) OF Yes, the linearity assumption is violated. his vear, What mean temperature does

This is a chart with Temperature Anomalies and Time, what does it indicate about global warming if  y = 0.0018x + 0.7418R² = 0.1015

Which of the following correlation coefficients indicate the strongest linear relationship between two variables x and y?       rxy = 0.5     rxy = 0.09     rxy = − 0.6     rxy = 0

Calculate correlation coefficient from the following results : N 10 ΣΧ 100 ΣΥ- 150 E(X-10}²= 180, 2(Y-15)' = 215 E(X-10(Y-15) = 60. %3D

n list stion 1 estion 2 Question 3 Question 4 Question 5 Statcrunch A T 63°F Raining now Z W S alt x # K 3 Use the following cell phone airport data speeds (Mbps) from a particular network. Find P70 0.2 0.7 2.1 3.9 8.8 10 2 R % 0.2 0.9 2.4 с CV 3.9 9.1 P70 = x Mbps (Type an integer or a decimal. Do not round.) 5 24 G 0.3 B 0.9 2.4 4.3 9.6 Y H 70 0.3 0.9 2.6 4.5 11.6 N 00 8 M 29 0.4 0.9 2.8 4.9 12.5 hp K W-11 L alt 0.4 1.1 2.8 25 5.1 12.7 ctrl 0.4 1.3 2.9 5.2 13.7 prt sc 3 pause 0.5 1.5 2.9 7.1 14.3 delete backspace ^; enter home T shift num lock 3.3 7.3 14.5 7 home 0.5 1.7 ↑ A end 1 end Next 3:15 PM 9/24/2022 → 00 pg up 5 24 ins 0.60 1.7 30.1 3.6 8.4 21 pg dn 9 pg up 3 pg dn del

The correlation of 4 pairs of observations is –0.94. What is E ? Sy Sx А. —1.03 В. —1.75 С. - 1.38 D. -2.82

Answer A B C

I need in an hour pls help thankyou

Each of the following graphs show the relationship between two variables. Determine the Pearson product-moment correlation coefficient (r) for each graph

Calculate correlation coefficient from the following data : N= 10, E X= 140, E Y= 150 E (X – 10)2 = 180, E(Y– 15)² = 215, E (X- 10) (Y– 15) = 60 %3D %3D %3D %3D

10:07 AA www-awn.aleks.com O REGR. Predict. A financial analyst is examining the relationship between stock prices and earnings per share. She chooses fifteen publicly traded companies at random and records for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her data are given below, with x denoting the earnings per share from the previous year, and y denoting the current stock price (both in dollars). Based on these data, she computes the least-squares regression line to be î=-0.021 + 0.039.x. This line, along with a scatter plot of her data, is shown in Figure 1. Earnings per Current stock price, y (in dollars) share, x (in dollars) 30.62 0.89 15.77 0.47 40.14 1.88 51.19 1.61 25 26.79 1.06 18.54 0.74 59.71 2.26 20.78 0.75 38.96 1.16 34.97 1.44 41.67 0.98 42.69 1.43 32.30 1.81 58.49 2.74 Figure 1 29.83 1.44 Send data to Excel Based on her data and her regression line, answer the following: 1. Fill in the blank: For these…

We analyze a data set with Y = stopping distance of a car and X = speed of the car when the brakes were applied, %3D and after running the data in STATISTICA, we obtain the following results. Std.Err. of b Std.Err. of b* t(61) p-value b* N=63 Intercept Speed -20.2734 3.1366 -6.26038 20.67978 0.000000 0.000000 3.238368 0.935504 0.045238 0.151674 Sums of df Mean p-value Squares Squares 59540.15 Effect 59540.15 427.6534 0.000000 Regress. Residual 1 8492.74 61 139.23 Total 68032.89 Speed X StopDist Y Speed squared StopDist squared Speed StopDist 65853 Total 1195 2471 28719 164951 One of the observations is (X = 39, Y = 138). The value of the internal studentized residual is . (final answer to 2 decimal places e.g. 2.12) Hence, the point (39, 138) an outlier. (choose from is or is not)

7:45 PM Fri Apr 15 ... AA www-awu.aleks.com X A ALEKS - Emily Men... Module 8 Quiz Prac... Outline Planning G... lvs Session ( O MODULE 10o: INTERPRETING CATEGORICAL AND QUANTITATIVE DATA Computing residuals 3/5 The table and scatter plot show the time spent watching TV, x, and the time spent doing homework, y, by each of 11 students last week. The equation of the line of best fit is y=-0.3x+20.51. Time spent Time spent watching TV, x doing homework, y (in hours) (in hours) 28- 6.0 19.62 24. 6.8 16.73 Time spent 20 doing homework 8.3 21.04 (in hours ) 16- 10.5 18.90 12- 10.7 15.49 12.1 15.50 13.3 15.51 15.1 19.00 Time spent watching TV 16.4 16.48 (in hours ) 18.1 17.50 20.5 13.30 Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Time spent Observed time spent Predicted time spent doing homework (in hours) Residual watching TV (in hours) doing homework (in hours) (in hours) D. 15.1 18.1

Compute the value of correlation coefficient of using data in table 1 for the number of hrs. a person works per week and thenumber of accidents or injuries that the person has over a peroid of one week. Table :1 Hrs.Worked ( x ) No. of accidents( y ) 30 2 42 3 25 4 44 8 56 5

Number 2 pls.

Bb.42.