What does it mean when one of the two main effects is significant?
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- A correlation of zero between two quantitative variables means thatWhen is the coefficient of certainty obtained from the regression equation equal to the square of the coefficient of correlation between the variables?Consider a large number of countries around the world. There is a positive correlation between the number of Nintendo games per person (x) and the average life expectancy (y). Does this mean that we can increase the life expectancy in a country by shipping more Nintendo games to that country? 1 Yes. As long as a correlation is positive, we can conclude that one variable causes the other. 2 No. We can only conclude that one variable causes another if the variables are negatively correlated. 3 Yes, but it will depend on how strong the correlation is; as long as the correlation is larger than 0.70, we can conclude that one variable causes the other. 3 No. An association between two variables does not mean that one variable causes the other.
- You run a regression analysis on two numerical variables x and y, where x is the explanatory variable and Y is the response. With the help of statistical software, you obtain the regression equation y = -2.859x + 59.865 with a correlation coefficient of r = -0.964. You want to predict what value (on average) for the response variable will be obtained from a value of 190 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)If the dependent variable Y correlates with the independent variable X, this suggest that X has a causal impact on Y. Select one: True FalseWhich of the following refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable?
- A) A linear regression has a =6 and b=5 what is y predicted as when x=9? B) A linear regression has b=3 and a=4.What is the predicted Y for x=7?I would like help with question 2 both A and B.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 40 300
- A 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.I am determining how effective a Drug is at reducing inflammation in individuals infected with a virus. the serum levels of antibody are measured as a measure of inflammation (less antibodies means less inflammation which decreases virus mortality) in 30 people given placebo, 30 people given 1 unit of the drug, and 30 people given 2 units of the drug. I would like to determine what levels of the drug are effective, and if there are sex-specific effects. What are the dependent and independent variables in this experiment? age _________ sex __________ antibody level _____________ treatment ___________Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. In a test to screen for gestational diabetes, a patient is classified as needing further testing for gestational diabetes if the glucose level is above 120 milligrams per deciliter (mg/dL) one hour after a sugary drink. Shelia's measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 105 mg/dL and σ = 15 mg/dL. (Round your answers to four decimal places.) (a) If a single glucose measurement is made, what is the probability that Shelia is diagnosed as having gestational diabetes?(b) If measurements are made on three separate days and the mean result is compared with the criterion 120 mg/dL, what is the probability that Shelia is diagnosed as needing further testing for gestational diabetes?
