Explain the effect of α level on power?
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Explain the effect of α level on power?
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- Need help on part D! How does lateral acceleration—side forces experienced in turns that are largely under driver control—affect nausea as perceived by bus passengers? An article reported data on x = motion sickness dose (calculated in accordance with a British standard for evaluating similar motion at sea) and y = reported nausea (%). Relevant summary quantities are n = 17, xi = 223.9 , yi = 196 , xi2 = 3056.65 , xiyi = 2759.6 , yi2 = 2976 . Values of dose in the sample ranged from 6.0 to 17.6. (a) Assuming that the simple linear regression model is valid for relating these two variables (this is supported by the raw data), calculate and interpret an estimate of the slope parameter that conveys information about the precision and reliability of estimation. (Calculate a 95% CI. Round your answers to three decimal places.) , (b) Does it appear that there is a…Exercise 5.1.2 Normalize V = 15-3.4i 2.1-16iAge, x 16 25 39 45 49 64 70 29 57 22 Systolic blood pressure 109 122 143 132 199 185 199 130 175 118 4. If x is 30 , what would you expect y (in mm ??) to be?
- Data collected by a psychology professor over a four-year period examined the relationship between class attendance and average test grades in introductory psychology. Results revealed that the correlation between the number of classes attended was positively correlated with the students' average test gradeover the course of the semester (r = 0.35). (a) What is the proportionate reduction in error, or r2, for predicting average test grade from the number of classes attended? (b) Explain what this r2 means for this set of data.A scientist, who wants to study the effects of precipitation on rice crops, sets up an experiment with 4 groups of rice crops. Rice crop harvest vs. precipitation level Group B Group A 0 150 Group C Precipitation (cm/annually) Harvest (pounds/acre) 0 60 Which statement best describes the relationship between the dependent and independent variables in this study? 20 O The amount of precipitation is dependent on the amount of rice harvest. O The amount of rice harvest is positively correlated with the increase in precipitation. The amount of rice harvest is not affected by the amount of precipitation. The amount of rice harvest is negatively correlated with the increase in precipitation. 200 Group D 40 300A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ=140+5 mg/dl and σ=5+1 mg/dl. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? n=5+2 times n=5+4 times Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.
- The second slide is the first part of the question and the first slide is the second part of the questionA gardener applied chemical "Z" to plants in a flower bed. (S)he observed that the plants grew dramatically during the next two weeks. Using only the information from the previous two sentences, write a hypothesis about the effect of chemical "Z" on plants. (Note: Your hypothesis must be a testable statement.) A researcher conducted a series of experiments to test the effect of chemical “Z” on plants. The data from the experiments is summarized in the graph below. (Image of the Graph attached.) Interpret the graph above. What did the researcher learn about the effect of chemical “Z?” Based on the researcher’s graph, what can you conclude about the hypothesis you wrote for Question 7 above?The correlation between X and Y is r = 0.35. If we doublw each X value, decrease each Y by 0.20, and interchange the variables (put X on the Y-axis and vice versa), the new correlation is?
- The marketing research department of a large company knows that the company's monthly sales are influenced by the way in which it spends money on marketing. For example, monthly expenditures such as the ones listed below are known to have an effect on y, the company's total monthly sales (in millions of dollars). X1 = money spent on television advertising (in 1000's of dollars) X2 money spent on promotion (i.e., free samples) X3 = money spent on newspaper advertising (in 1000's of dollars) X4 average discounts offered to retail outlets (in %) Using data from the previous 18 months, the company decides to collect data on 6 of the independent variables to use in a multiple regression model for estimating monthly sales. If the R´ for this model is 0.93, fill in the missing entries in the ANOVA table associated with this model. Do all calculations to at least three decimal places.Paul is conducting an experiment to relate fuel economy (MPG) with the amount of CO2 (grams/mile). Paul conducted an experiment on 12 different vehicle owners. Table below presents the fuel economy and CO2 emitted. Fuel economy Vs. CO2 emissions. Fuel Economy CO, emissions(g/mi) 314 (MPG) 29.2 26.5 324 28.5 312 28.1 317 28 316 24.1 344 26.1 352 25 356 23.4 381 22.8 389 22.2 399 1) Obtain a linear regression equation line for the data 2) Predict the CO emissions when the fuel economy is 24 MPG☐True ☐False In two correlated variables, if one of them increases when the other decreases that is called an inverse relationship.