Question

You get a phone call from your cousin and learn that they are pregnant. In talking...

You get a phone call from your cousin and learn that they are pregnant. In talking on the phone you tell them about your ideas and project. Your cousin gets excited and asks you how emotionally reactive you think their kid is going to be when they grow up. You tell your cousin that you’ll need to create a model based on your data to predict just how emotionally reactive a person will be given the emotional reactivity of their parents.

1) Compute the best fitting regression line for your data set: i.e. the equation for Y-hat (10-pts)

2) Is the slope positive or negative? (1-pt) Is the y-intercept greater or less than zero?(1-pt)

3) Draw your regression line on the scatter plot you created above. (2-pt)

Your cousin then completes the questionnaire and gets a ERQ = 17.
1) How emotionally reactive will you tell your cousin their child is likely to be? (5-pts)
2) Is this prediction an interpolation or extrapolation? (1-pts)
3) Based on your ‘r’ value, the shape of your scatter plot and the type of prediction should you feel confident or skeptical in your prediction and for full credit explain why? (5-pts)

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Answer #1

For this particular question we may need data with explanatory variables and response variables to run the regression line,

So for the data collection method you can collect data based on the how does the child react to happy and sad situations, how often does the child feel or how likely does the child run emotions when scolded or appreciated, this is how the data should be formalised and then the process is easy for the questions to follow, or if you have the data provided please provide the same for quick model building and analysis

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