Question
I need help with using R studio, need thorough explanation and computation code and output! thank you 3. Assume that you have a set of
I need help with using R studio, need thorough explanation and computation code and output! thank you
3. Assume that you have a set of scores measuring visual imagery ability. You have also slope and intercept of a plot that used visual imagery data as the X values and vivid dreaming (detailed and visually-involved dreams) ratings as the Y values. However, the vivid dreaming data isn't available. Using the data below, recreate the Y values, then create the plot and trendline.For the data - the intercept= 6.023, slope = 0.004
Participant | Visual Imagery Rating |
1 | 44 |
2 | 38 |
3 | 40 |
4 | 43 |
5 | 47 |
6 | 31 |
7 | 42 |
8 | 42 |
9 | 48 |
10 | 28 |
11 | 40 |
12 | 41 |
4. Below is a table of X values, , and residuals.
Create a trendline and report the slope and intercept values
X-values | Residuals | |
16 | 56.86 | -21.86 |
12 | 146.38 | -66.38 |
15 | 79.2415 | 30.76 |
13 | 124 | 26 |
11 | 168.76 | 31.24 |
1. Find the y values.
2. Create a plot (plot the x and y values) with the on the x-axis from 0 to 25 and the y-axis from 0 to 250
3. Create a plot (plot the x and y values, with the range of the x-axis from 10 to 25 and the y-axis from 0 to 250
4. Create a trendline based only on the y mean
5. A developmental psychologist wants to look at the number of different toys a toddler touches in an hour of playing and see if it correlates to language usage (as measured on a scale of 1 to 100). Below is a table of the number toys each toddler plays with
Participant | Number of Toys Used |
1 | 15 |
2 | 26 |
3 | 27 |
4 | 17 |
5 | 19 |
The mean of the speech fluency scores is 61.8.
1. Create a plot that lists place a "best guess" trendline given the information provided. (Hint - the mean of speech fluency is61.8).
The x-axis should include at least the range of x-values.
The y-axis should range from 0 to 100
2. Using the values for as 49, 38, 84, 49, 89, Create a trendline using the lm() command and add it to the figure.
(In the r-command abline(), the "a" stands for the intercept value and the "b" stands for the slope.)
- An alternative to values for slope and intercept, in abline(), h stands for height (or intercept)
3. So, abline(h =
4. So, abline(v =
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