The table below displays data from an experiment focused on nutrient addition and plant diversity. The explanatory variable is the response variable is Number of Number of Plot # Nutrients Added Plant Species 36 2 36 32 4 34 33 3 30 20 8 23 4 21 10 4 16

Report the correlations between the three independent variables (age, educ and Protestant) and your dependent variable (childs). Which category had the correlation that was the weakest?

An experiment was conducted to compare the alcohol content of soy sauce on two different production lines. Production was monitored eight times a day. The data are shown here. Production line 1 0.38 0.37 0.39 0.41 0.38 0.39 0.40 0.39 Production line 2 0.48 0.39 0.42 0.52 0.40 0.48 0.52 0.52   Assume both populations are normal. It is suspected that production line 1 is not producing as consistently as production line 2 in terms of alcohol content. Using the 0.05 level of significance, can conclude that the population standard deviations for the alcohol content of these two types of production lines could be the same.

An experiment was conducted to compare the alcohol content of soy sauce on two different production lines. Production was monitored eight times a day. The data are shown here. Production line 1 0.38 0.37 0.39 0.41 0.38 0.39 0.40 0.39 Production line 2 0.48 0.39 0.42 0.52 0.40 0.48 0.52 0.52   Assume both populations are normal. It is suspected that production line 1 is not producing as consistently as production line 2 in terms of alcohol content. Perform a hypothesis test to compare the population standard deviation of these two types of production lines. What is the value of the test statistic?

Below is a table of most of the variables in the dataset. For each variable listed, identify both the type of variable and the level of measurement (e.g., a student’s gender is categorical, nominal). variables type level of measurment exp     wks     bluecol     ind     south     smsa     married     sex     union     ed     black     wage     wage2       1. exp (years of full-time experience)2. wks (weeks worked)3. bluecol (whether the worker is a blue collar worker)4. ind (whether the worker works in a manufacturing industry)5. south (whether the worker resides in the south)6. smsa (whether the worker resides in a standard metropolitan statistical area)7. married (whether the worker is married)8. sex (male or female)9. union (whether the worker is part of a union)10. ed (years of education)11. black (whether the worker is black)12. lwage (gives the logarithm of the worker’s wage)13. wage (gives the worker’s wage this past year)14. wage2 (gives the…

Use the Stata output below to answer the following question. The data used in this analysis is from a sample of airlines. The variables used are: fare-avg price of a one-way fare, in dollars dist- distance of the flight, in miles .reg fare ldist. Source Model Residual 551.391705 Total lfare SS ldist _cons 875.094374 df The OLS results suggest that 1 323.702668 120024315 4,594 MS Coef. Std. Err. 4,595 190444913 Number of obs F(1, 4594) Prob > F R-squared Adj R-squared Root MSE t P>|t| .4025646 .0077517 51.93 0.000 2.399834 .0521601 46.01 0.000 4,596 2696.98 0.0000 0.3699 0.3698 .34645 [95% Conf. Intervall .3873676 .4177617 2.297575 2.502093 a 1% increase in distance is associated with approximately a $.40 increase in the price of the fare. a 1% increase in distance is associated with approximately a .40% increase in the price of the fare. a 1% increase in distance is associated with approximately a 40 % increase in the price of the fare. None of the above.

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Measuring Seals from PhotosListed below are the overhead widths (in cm) of seals measured from photographs and the weights of the seals (in kg). The data are based on “Mass Estimation of Weddell Seals Using Techniques of Photogrammetry,” by R. Garrott of Montana State University. The purpose of the study was to determine if weights of seals could be determined from overhead photographs. Is there sufficient evidence to conclude that there is a correlation between overhead widths of seals from photographs and the weights of the seals?

An electrical engineer is interested in the effect on the tube conductivity of five different types of coating for cathode ray tubes used in telecommunications system display device.  The following conductivity data are obtained:                           Coating Type                                                              1                      143      141      150      146                                     2                      152      149      137      143                                     3                      134      133      132      127                                     4                      129      127      132      129                                     5                      147      148      144      142  At 5% level of significance, is there any difference in conductivity due to coating type? What is the value of test statistic?   Select one: a. 16.35 b. 19.0 c. 15 d. 3.06

interpret this 2 way anova of neuron density in detail