Paragraph Styles Below are data & results from a study looking at self-report measures of alertness and the number of responses people make to a stimulus. of people first getting acquainted with each other. Prior to the experiment, participants were asked to rate their level of alertness on a scale of 1- 20, with 20 being "very alert." Responses to stimuli were measured in number of button presses Pair 1 2 3 4 5 6 7 8 9 10 Alertness 18 6 11 9 7 4 17 15 10 13 Responses 13 8 13 12 10 4 14 11 10 12 Mx = 11 Sx = 4.71 SSx = 200 My = 10.7 Sy = 2.95 SSy = 78.1 SP = 101 Y = 0.505x + 5.145 SSregression = 51.01 SSresidual = 27.1 1. According to the techniques we've discussed, is alertness a good predictor of responses? State yes/no and present appropriate evidence for your answer. Here's a hint: you actually don't need to do any difficult math to answer this question. Compute r^2 (which means you'll need to computer), and also interpret the slope in the Y-hat equation. Base your answer on those computations/values 2. OK. Now, make a scatterplot of these data. Be sure to label your x and y-axes appropriately. 3. So, forget about the regression equation, r or r^2. Simply by looking at the scatterplot, are Pearson's correlation and linear regression good analysis strategies here? Why or why not? 4. Using your scatterplot, describe in direct, simple language what's going on in the data, In other Qwords, describe what's happening to number of responses as alertness scores change. Remember, scores on the alertness scale range from 1 (not very alert), to 20 (very alert)