Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05. Right Arm Left Arm 103 102 94 80 79 a 177 172 145 148 148 E Click the icon to view the critical values of the Pearson correlation coefficientr

Aa 0 4 Earthquake Measurements Mag Depth D 1.54 12.7 1.16 8.6 0.94 14.4 www 1.64 PEN 1.94 0:00 1.66 100 2.93 1.85 1.19 2.66 2.54 HONDEN 0.73 pape 2.43 BEN 1.47 DA 0.35 de 0.47 TODA 1.99 0.39 1.42 OTHE 0.45 2.09 2.12 1.55 1.52 0.76 0.46 0.11 0.56 2.88 Print HA 2.5 HATA 16.3 SHAREE 2.7 DIN 9.1 1010 9.2 1000 18.9 BON 9.7 Bol 9.8 18.9 18.8 6.9 15.2 15.5 17.2 4.4 18.4 14.5 19.9 2.9 Ku 6.3 18.6 7.5= 4.9 15.4 16.9 12 R 4 0 - X Done Done 何 111 Earthquake Measurements 2.03 13.3 2.12 2.9 1.55 6.3 1.52 18.6 0.76 7.5 0.46 4.9 0.11 15.4 0.56 16.9 2.88 12.8 2.85 13.3 0.21 14.9 0.93 5.1 1.61 3.2 2.26 7.6 1.01 11.5 0.97 17.6 2.73 18.9 0.85 5.3 1.02 2.5 0.37 6.8 1.37 14.9 1.96 15.3 1.54 8.1 0.81 3.8 0.99 12.9 2.54 8.9 2.63 11.1 1.32 7.6 1.05 14.3 1.33 14.1 Print Done - X 4 points Sa edicted depth of an earthqu

A team from UNHABITAT took a random sample of 230 households in a city to better understand how the size of a house (measured in metres) is related to the number of people living in that house. They performed a regression analysis on the data and found that regression model had an R² = 18.3%. What is the correlation between the size of a house and the number of people living in that house? 0.667 0.183 0.033 0.904 0.428

The data show systolic and diastolic blood pressure of certain people. Find the regression equation, letting the systolic reading be the independent (x) variable. If one of these people has a systolic blood pressure of 125 mm Hg, what is the best predicted diastolic blood pressure? Systolic Diastolic Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? ŷ-+x (Round to two decimal places as needed.) What is the best predicted diastolic blood pressure? y=(Round to one decimal place as needed.) C 148 115 82 83 82 136 115 127 128 140 97 60 65 93 145 101 108

Use the summary statistics to calculate the regression line for this data. Explain each coefficient. What is the total amount of weight would you expect a weightlifter with a body weight of 84kg to lift? At the 5% significance level, is there evidence that the body weight of the athlete is a useful predictor for the total amount an athlete can lift? Assume the assumptions can be verified.

a tab = The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, bo + bx, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, It would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Answer How to enter your answer (opens in new window) esc Step 3 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable . Google Play Store alt 1…

Researchers studying tigers collected data on the length (in meters) and weight (in kilograms) of the animals. Is there statistically significant evidence that the length of tigers is related to their weight?

Does how long young children remain at the lunch table help predict how much they eat? Twenty toddlers were observed over several months at a nursery school. "Time" is the average number of minutes a child spent at the table when lunch was served. "Calories" is the average number of calories the child consumed during lunch, calculated from careful observation of what the child ate each day. A regression was run and the results were: = 114 + 2.4*x R² = 0.68 r = 0.822 Predict the number of calories a toddler consumes who remains at the table for 14.5 minutes (round your answer to two decimal places)

• In a political science class, the teacher gives a midterm exam and a final. The association between midterm and final scores is linear. The summary statistics are shown below. Midterm Mean=75, Midterm Standard Deviation=10 Final Mean=75, Final Standard Deviation=10 r=0.8 According to the regression equation, for a student who gets 85 on the midterm (one standard deviation above average) what is the predicted final exam grade? 83 85 70 75

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