A study was conducted to determine if there was a linear relationship between a person's age and his/her peak heart rate. IT Age Peak Heart Rate 16 220 26 194 32 193 37 178 42 172 53 160 48 174 21 214 a. Calculate the coefficient of determination and interpret it. b. Calculate the standard deviation and interpret it. C. State the Least Squares Regression Line Equation. d. Interpret the slope in the context. e. Interpret the y-intercept in the context

Studies have shown that people who suffer sudden cardiac arrest have a better chance of survival if a defibrillator shock is administered very soon after cardiac arrest. How is survival rate related to the time between when cardiac arrest occurs and when the defibrillator shock is delivered? The accompanying data give y = survival rate (percent) and x = mean call-to-shock time (minutes) for a cardiac rehabilitation center (in which cardiac arrests occurred while victims were hospitalized and so the call-to-shock time tended to be short) and for four communities of different sizes. Mean call-to-shock time, x 2 6 79 12 Survival rate, y (a) Construct a scatterplot for these data. y 12. 10 O 8 6 20 40 60 91 44 32 6 4 80 100 y 100 80 60 ELL 40 20 2 4 6 8 X 12 10 8 6 4 20 40 60 (b) Find the equation of the least-squares line. (Round your values to four decimal places.) ŷ= Jx 80 100 10 12 (c) Use the least-squares line to predict survival rate for a community with a mean call-to-shock time of…

A linear model fit to predict weekly Sales of frozen pizza (in kilograms) from the average Price (in dollars per unit) charged by a sample of stores in 41 recent weeks is Sales = 141,870.25-24,445.32 Price. For the data used to create the model, the average Sales was 52,750 kilograms (SD = 10,282 kilograms) and the correlation between Price and Sales was r=-0.554. If the Price in a particular week was 2 SD higher than the mean Price, how much pizza would the model predict was sold that week? The model would predict that kilograms of frozen pizza were sold. (Round to the nearest integer as needed.)

A research study investigates the occurrence of extra heartbeats between untrained and trained older patients at risk for heart attack. Researchers decide to test whether there is a significant difference in the number of extra beats depending on training status. They obtain measurements over 10 minutes, summarized below. What did they find? If there is a significant difference, how big of one is there? (Provide a range.) dfadi = 25 (if needed) Status # patients Untrained 43 Mean # extra beats/10 min 72.46 32.35 Standard Deviation Minimum # extra beats Maximum # of extra beats Skew Kurtosis 28 165 -0.21 0.62 Trained 21 169.50 62.93 66 266 0.13 -0.1

Forensic scientists can learn about events at a crime scene by collecting data. Ex: Properties of glass shards at a crime scene such as chemical composition can indicate what type of glass was broken at the scene. Possible types include building glass (building windows or doors), vehicle glass (car windows or doors), or household glass (lightbulbs, baking dishes). The fitted logistic regression model for predicting whether a glass shard is building glass based on sodium is: = 20.02+(-1.42) (sodium) 1+e20.02+(-1.42) (sodium) Calculate the log-odds that a glass shard with sodium = 13.08 is building glass. Ex: 1.23 C Calculate the probability that a glass shard with sodium = 13.08 is building glass.

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A recent experiment included measuring the weight of a package of raw almonds.  This type of data would be considered a: Discrete variable or Continuous variable?

A group of migraine headache sufferers were tracked over their lifetimes with data taken every 10 years. The scatter plot shows the number of headaches per year versus age, in years. How would you estimate the number of headaches at age 100?     Question 2 options:   Draw a line of best fit and interpolate.   Wait until a sufficient number of subjects have reached the age of 100.   Draw a line of best fit and extrapolate.   Use the number from age 80 and divide by 2.

An article published in the American Journal of Hypertension reported the results of a longitudinal study on blood pressure. Ten years ago, 51 out of 188 people evaluated were classified as having high blood pressure. This year, 63, out of 194 people evaluated were classified as having high blood pressure. Based on the results of this study, can one conclude that the proportion of people in the population with high blood pressure has increased in the last ten years? Use a = 0.05. I can't find the sign=a I hope someone will know what I am talking about.