financial magazine conducted a survey. It showed that a person with more years of education tends to have a higher salary. What is likely true? A.There is no correlation between years of education and salary.                                                                          B.There is a correlation between years of education and salary. There may or may not be causation. Further studies would have to be done to determine this.                                                                                                        C. There is a correlation between years of education and salary. There is probably also causation. This is because there is an increase in salary with an increase in the years of education.

3. ACT scores are roughly Normal with mean 20.8 and standard deviation 4.8, and SAT scores are roughly Normal with mean 1026 and standard deviation 209. Some students take both. For those students, the correlation between the two scores is 0.72. a. What's the equation of the straight line that you'd use to predict ACT scores based on SAT scores? b. I got a 1300 on the SAT, and I'm planning to take the ACT. Predict what I might get, c. What's the equation of the straight line that you'd use to predict SAT scores based on ACT scores? d. My friend got a 27 on the ACT, and she's planning to take the SAT. Predict what she might get. e. How come you're predicting both that I'll do worse than her on the ACT and that she will do worse than me on the SAT? 4. Draw a simple random nlc of size 15 from the labels 40os01, 402.

If when measuring two quantitative variables on an individual, we find that increases in the first variable x correspond to decreases in the second variable y, we say that  A. there is a positive association between the two variables. b. there is a negative association between the two variables. c. there is no correlation between the two variables. d. there is a cause-and-effect relationship between the two variables.

Does "correlation imply causation"? Give one example in which a variable X ispositively correlated with another variable Y, but we cannot deduce that X causes Y.

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What is a null hypothesis? a. A hypothesis that states there is an effect or relationship in the population b. A hypothesis that states there is no effect or relationship in the population c. A hypothesis that is always rejected in hypothesis testing d. A hypothesis that supports the researcher's prediction

A study of elementary school children, ages 6 to 11, finds a high positive correlation between shoe size x and score y on a test of reading comprehension. The observed correlation is most likely due to:     the effect of a lurking variable, such as age or years of reading experience.     a mistake, because the correlation must be negative.     cause and effect (larger shoe size causes higher reading comprehension).     reverse cause and effect (higher reading comprehension causes larger shoe size).

You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 26 33 25 38 34 42 30 17 34 80 20 30 35 71 29 65 28 50 30 Но: р %3D 0 На: р 2 0 Find the Linear Correlation Coefficient r = Find the p-value p-value The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Reject Ho О Аcсеpt Ho O Do Not Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive…

What is the base rate(or prevalence in medical literature) and sensitivity(the percentage of individuals with a disease who are correctly classified as having the disease?)

According to multiple research, there is a -0.697 correlation between happiness and loneliness. This means that _________.   a. People who are happier tend to be less lonely.   b. People who are happier tend to be more lonely.   c. There is no link between happiness and loneliness.   d. There is a causal relationship between happiness and loneliness.