Data contains brain mass in different species versus glia-neuron ratio, the latter being a measurement of brain metabolism as the glia provides the metabolic needs of the neurons. The relationship...

Data contains brain mass in different species versus glia-neuron ratio, the latter being a measurement of brain metabolism as the glia provides the metabolic needs of the neurons.  The relationship between THE LOGARITHM of the brain mass (in the third column) and Glia-neuron ratio (fourth column) appears linear and it is these two variables that we wish to analyze via linear regression.  We would like to know if the human brain fits the trend from the other species.  Towards this end we will perform the regression on all species EXCEPT humans (Homo sapiens).  Again, throw out the human data from your analysis.  You will however need the human numbers for some of the questions.

What is the lower & upper bound of the 95% confidence interval for the slope of the regression line?

What is the value of the t-statistic used to test the null hypothesis of zero slope via a t-test?

A t-test would reject the null hypothesis at a 0.05 significance level.

Extracted text: C. D. gliaNeuronRatio 7.22 brainMass InBrainMass species 1.65 1373.3 Homo sapiens Pan troglodytes Gorilla gorilla 336.2 5.82 1.2 509.2 6.23 1.21 342.7 5.84 0.98 Pongo pygmaeus Hylobates muelleri Papio anubis Mandrillus sphinx 101.8 4.62 1.22 155.8 5.05 0.97 159.2 5.07 1.02 Macaca maura 92.6 4.53 0.84 102.3 4.63 1.09 Erythrocebus patas Cercopithecus kandt Colobus angolensis 71.6 4.27 1.15 74.4 4.31 1.2 1.14 Trachypithecus frant 1Alouatta caraya 91.2 4.51 55.8 4.02 1.12 24.1 3.18 0.51 5 Saimiri boliviensis 5 Aotus trivirgatus 7 Saguinus oedipus 8 Leontopithecus rosa 9 Pithecia pithecia 13.2 2.58 0.63 10 2.3 0.46 12.2 2.5 0.6 30 3.4 0.64