Investigate the association between eye colour of husbands and eye colour of wives from the data given below: Husbands with light eyes and wives with light eyes Husbands with light eyes and wives with not light eyes 309 %3D 214
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- designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use a = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Type of Ride Screaming Demon 50 46 51 51 47 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Factor A Factor B Interaction Error Method 1 Total Roller Coaster Method 2 Source of Variation Sum of Squares Degrees of Freedom Mean Square 49 51 50 52 The p-value for Factor A is Select your answer 53 45 55 00000 0000 Log Flume F p-valueAs a new type of environmentally friendly, natural air freshner is being developed, it is tested to see whether the effects of temperature and humidity affect the length of time that the scent is effective. The numbers of days that the air freshner had a significant level of scent are listed below for two temperature and humidity levels. Can an interaction between the two factors be concluded? Is there a difference in mean length of effectiveness with respect to humidity? Temperature 1 Temperature 2 Humidity 1 35, 25, 26 35, 31 37 Humidity 2 28,22,21 23,19,18 What is the critical value for humidity?Hallo...please help
- A researcher wants to know how the number of drinks consumed on a night out affects decision-making quality. She observes and records the drinking behavior of 5 participants, then has them complete a series of decision-making tasks. Use the following data to answer the next 15 fill-in-the-blanks answering the following question: 1) is the correlation statistically significant at ? 2) Calculate the percent of variability accounted for in Y by X, and 3) define the equation for the line of best fit. Number of Drinks (X) Decision Making Task Performance (Y) 2 7 4 2 1 5 1 6 2 5 State the hypotheses about (rho) Null: Alternative: df: critical t: SSx: SSy: SP: Correlation (r): Standard error of the correlation (): Calculated t-statistic: State your conclusion and make a decision about the null hypothesis and state what it means in the variables of interest: Percent of variance explained (): For the regression line, calculate b: For the regression line, calculate a:…A study is conducted to find the relationship between the amount of saturated fat consumed and cholesterol level. Determine if there is a relationship between saturated fat consumption and cholesterol level, and what type. If a correlation is found, predict the cholesterol level when saturated fat consumption is found to be 8.5 grams. Saturated Fat: 6.8, 5.5, 8.2, 10, 8.6, 9.1, 8.6, 10.4 Cholesterol Level: 186, 201, 193, 283, 222, 250, 190, 218A paper published in the New England Journal of Medicine reported that it didn't matter what your income, race, or insurance coverage was, you had only about a 50% chance of receiving the recommended medical care for the problem that was diagnosed. The study also reported numbers for those receiving the recommended care by age group. Assume that the data below was obtained and we have added the row and column totals to the observed frequencies: received did not receive total recommended recommended care care 18-30 yr 29 21 50 31-64 yr- 55 45 100 > 65 yr 26 24 50 total 110 90 200 We want to do a Chi-Square test of association for age range versus whether a patient received the recommended care or not. What is the expected frequency for the "31-64 yr" and "received recommended care" category? Round your answer to the tenths position.
- A car insurance company would like to examine the relationship between the driving experience and insurance premium. For this reason, a random sample of ten drivers is taken and the years of driving experience (x) as well as the monthly insurance premium (y in $) is recorded. The data are shown in the table below. The summary statistics for these data are: Draw a scatter diagram of these data on the graph paper. Label the diagram carefully. Calculate the sample correlation coefficient (using the formula for correlation coefficient). Interpret your findings iii. Calculate the least squares line of y on x and draw the line on the scatter diagram (y=a+bx1) Interpret the intercept and slope (b/coefficient of x variable). iv. Based on the regression equation in part (iii), what will be the predicted monthly insurance premium for a driver with 12 years of experience? Will you trust this value? Justify your answer.To determine the height of a person when his weight is given is a correlation problem Select one: O True FalseWhich of the following is the best Interpretation of the correlation coefficient?
- Tail-feather length in birds is sometimes a sexually dimorphic trait. That is, the trait differs substantially for males and for females. Researchers studied the relationship between weight, x, and tail-feather length, y, in a sample of five wild male long-tailed finches. The data are given: weight (g) 20.8 19.1 15.9 16.7 15.7 tail length (mm) 82.5 82.5 67.0 70.5 73.5 What are the units of the correlation coefficient for these data? Correlation is a unitless quantity. g/mm units mm units mm/g unitsConsider the following scatter plots, number 1, 2, and 3 from left to right: 20 Which plot is most likely associated with a correlation coefficient of-0.92? Select one: Oa. Plot 1 Ob. Plot 2 Oc. Plot 3 Od. None of the above.A car insurance company would like to examine the relationship between the driving experience and insurance premium. For this reason, a random sample of ten drivers is taken and the years of driving experience (x) as well as the monthly insurance premium (y in $) is recorded. The data are shown in the table below. The summary statistics for these data are: Draw a scatter diagram of these data on the graph paper. Label the diagram carefully. Calculate the sample correlation coefficient (using the formula for correlation coefficient). Interpret your findings iii. Calculate the least squares line of y on x and draw the line on the scatter diagram (y=a+bx1) Interpret the intercept and slope (b/coefficient of x variable). Based on the regression equation in part (iii), what will be the predicted monthly insurance premium for a driver with 12 years of experience? Will you trust this value? Justify your answer.