Determine the linear trend equation and then interpret it.
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- A regression analysis is a statistical package that researchers use to determine a whether a linear relationship exists between the dependent variable and independent variables. If True, discuss. If False, discussThe equation for yearly sales (in 000 dollars) for a commodity with year 2011 as originy = %3D 91.6 +28.8X. Determine the trend equation to give monthly trend values with Jan. 2012 as origin and calculate the trend for March, 2012.The condition of an independent variable being correlated to one or more other independent variables is referred to as nonlinearity. statistical significance. multicollinearity. linearity.
- Fill in the blank. You are doing a study for a non-profit group helping at-risk children in your city. Suppose you know that 14.2% of the children in your city live in poverty. This percentage is an example of a You are doing a study for a non-profit group helping at-risk children in your city. Suppose you know that 14.2% of the children in your city live in poverty. This percentage is an example of a population parameter. sample statistic.Think of two variables, they could be from everyday life, that you feel would be strongly correlated, either positively or negatively. Describe why you would care about those two variables being correlated, and if you were to find a linear equation (best fit line) for them, what would you use it for. If you need to do some research online to find examples to post, that would be encouraged. 1.) Describe why these variables/correlation have personal meaning in your life 2.) Note whether they have a positive or negative correlation 3.) Describe what the best fit regression line would representShelia'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. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter one hour after a sugary drink is ingested. Shelia's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with mean 127 mg/dl and standard deviation 10 mg/dl. Let L denote a patient's glucose level.
- The scatter plot shows the relationship between the average number of times, t, a person goes to a movie theater per month and the person's age in years, a, for 9 people. A trend line that passes through the point (5, 20) is also shown. Age 90 80 70 60 50 40 30 20 10 Going to the Movie Theater 0 1 2 3 4 5 6 7 8 Movie Theater Visits per Month What is the equation for the trend line?Below is the actual data on the speed a person walks or runs in miles/hour and the calories the person burns per lap. Find the linear equation of best fit for this data. Compare the model to the data. Does the model seem to fit the data? Explain. What is the significance of the y-intercept? What is the slope and what does it mean? What is the x-intercept and what does it mean? What is the correlation coefficient and what does it mean? Speed (mph) Calories/lap 1 42 2 31 3 27 4 41 5 40 6 40 7 39 8 38 r answers to the nearest hundredth. The y-intercept means that if a person runs at ----------mph they will burn__________ per lap. The slope means that for each mph you increase your speed, you will burn an additional------------calories pay lapRange of ankle motion is a contributing factor to falls among the elderly. Suppose a team of researchers is studying how compression hosiery, typical shoes, and medical shoes affect range of ankle motion. In particular, note the variables Barefoot and Footwear2. Barefoot represents a subject's range of ankle motion (in degrees) while barefoot, and Footwear2 represents their range of ankle motion (in degrees) while wearing medical shoes. Use this data and your preferred software to calculate the equation of the least-squares linear regression line to predict a subject's range of ankle motion while wearing medical shoes, ?̂ , based on their range of ankle motion while barefoot, ? . Round your coefficients to two decimal places of precision. ?̂ = A physical therapist determines that her patient Jan has a range of ankle motion of 7.26°7.26° while barefoot. Predict Jan's range of ankle motion while wearing medical shoes, ?̂ . Round your answer to two decimal places. ?̂ = Suppose Jan's…
- How does one do a trend analysis?A scatterplot with no linear trend will have an r value of zero true or false?A biologist was recording various temperatures (in degrees Celsius) and predicting the amount of glucose produced by a plant (in milligrams). Suppose the linear equation was the following: ?̂ = 12.7 − 0.223? d) Suppose the correlation coefficient was −0.12. How would you classify the correlation between temperature and amount of glucose?